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jcmarchi · 8 months ago

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Stanhope raises £2.3m for AI that teaches machines to 'make human-like decisions' - AI News

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Stanhope raises £2.3m for AI that teaches machines to 'make human-like decisions' - AI News

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Stanhope AI – a company applying decades of neuroscience research to teach machines how to make human-like decisions in the real world – has raised £2.3m in seed funding led by the UCL Technology Fund.

Creator Fund also participated, along with, MMC Ventures, Moonfire Ventures and Rockmount Capital and leading angel investors.

Stanhope AI was founded as a spinout from University College London, supported by UCL Business, by three of the most eminent names in neuroscience and AI research – CEO Professor Rosalyn Moran (former Deputy Director of King’s Institute for Artificial Intelligence), Director Karl Friston, Professor at the UCL Queen Square Institute of Neurology and Technical Advisor Dr Biswa Sengupta (MD of AI and Cloud products at JP Morgan Chase).

By using key neuroscience principles and applying them to AI and mathematics, Stanhope AI is at the forefront of the new generation of AI technology known as ‘agentic’ AI. The team has built algorithms that, like the human brain, are always trying to guess what will happen next; learning from any discrepancies between predicted and actual events to continuously update their “internal models of the world.” Instead of training vast LLMs to make decisions based on seen data, Stanhope agentic AI’s models are in charge of their own learning. They autonomously decode their environments and rebuild and refine their “world models” using real-time data, continuously fed to them via onboard sensors.

The rise of agentic AI

This approach, and Stanhope AI’s technology, are based on the neuroscience principle of Active Inference – the idea that our brains, in order to minimise free energy, are constantly making predictions about incoming sensory data around us. As this data changes, our brains adapt and update our predictions in response to rebuild and refine our world view.

This is very different to the traditional machine learning methods used to train today’s AI systems such as LLMs. Today’s models can only operate within the realms of the training they are given, and can only make best-guess decisions based on the information they have. They can’t learn on the go. They require extreme amounts of processing power and energy to train and run, as well as vast amounts of seen data.

By contrast, Stanhope AI’s Active Inference models are truly autonomous. They can constantly rebuild and refine their predictions. Uncertainty is minimised by default, which removes the risk of hallucinations about what the AI thinks is true, and this moves Stanhope’s unique models towards reasoning and human-like decision-making. What’s more, by drastically reducing the size and energy required to run the models and the machines, Stanhope AI’s models can operate on small devices such as drones and similar.

��The most all-encompassing idea since natural selection”

Stanhope AI’s approach is possible because of its founding team’s extensive research into the neuroscience principles of Active Inference, as well as free energy. Director Indeed Professor Friston, a world-renowned neuroscientist at UCL whose work has been cited twice as many times as Albert Einstein, is the inventor of the Free Energy Theory Principle.

Friston’s principle theory centres on how our brains minimise surprise and uncertainty. It explains that all living things are driven to minimise free energy, and thus the energy needed to predict and perceive the world. Such is its impact, the Free Energy Theory Principle has been described as the “most all-encompassing idea since the theory of natural selection.” Active Inference sits within this theory to explain the process our brains use in order to minimise this energy. This idea infuses Stanhope AI’s work, led by Professor Moran, a specialist in Active Inference and its application through AI; and Dr Biswa Sengupta, whose doctoral research was in dynamical systems, optimisation and energy efficiency from the University of Cambridge.

Real-world application

In the immediate term, the technology is being tested with delivery drones and autonomous machines used by partners including Germany’s Federal Agency for Disruptive Innovation and the Royal Navy. In the long term, the technology holds huge promise in the realms of manufacturing, industrial robotics and embodied AI. The investment will be used to further the company’s development of its agentic AI models and the practical application of its research.

Professor Rosalyn Moran, CEO and co-founder of Stanhope AI, said: “Our mission at Stanhope AI is to bridge the gap between neuroscience and artificial intelligence, creating a new generation of AI systems that can think, adapt, and decide like humans. We believe this technology will transform the capabilities of AI and robotics and make them more impactful in real-world scenarios. We trust the math and we’re delighted to have the backing of investors like UCL Technology Fund who deeply understand the science behind this technology and their support will be significant on our journey to revolutionise AI technology.”

David Grimm, partner UCL Technology Fund, said: “AI startups may be some of the hottest investments right now but few have the calibre and deep scientific and technical know-how as the Stanhope AI team. This is emblematic of their unique approach, combining neuroscience insights with advanced AI, which presents a groundbreaking opportunity to advance the field and address some of the most challenging problems in AI today. We can’t wait to see what this team achieves.”

Marina Santilli, sasociate director UCL Business, added “The promise offered by Stanhope AI’s approach to Artificial Intelligence is hugely exciting, providing hope for powerful whilst energy-light models. UCLB is delighted to have been able to support the formation of a company built on the decades of fundamental research at UCL led by Professor Friston, developing the Free Energy Principle.”

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Tags: decision making, development, funding, llm

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ivan-fyodorovich-k · 10 months ago

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If you had to capture Silicon Valley’s dominant ideology in a single anecdote, you might look first to Mark Zuckerberg, sitting in the blue glow of his computer some 20 years ago, chatting with a friend about how his new website, TheFacebook, had given him access to reams of personal information about his fellow students:

Zuckerberg: Yeah so if you ever need info about anyone at Harvard Zuckerberg: Just ask. Zuckerberg: I have over 4,000 emails, pictures, addresses, SNS Friend: What? How’d you manage that one? Zuckerberg: People just submitted it. Zuckerberg: I don’t know why. Zuckerberg: They “trust me” Zuckerberg: Dumb fucks.

That conversation—later revealed through leaked chat records—was soon followed by another that was just as telling, if better mannered. At a now-famous Christmas party in 2007, Zuckerberg first met Sheryl Sandberg, his eventual chief operating officer, who with Zuckerberg would transform the platform into a digital imperialist superpower. There, Zuckerberg, who in Facebook’s early days had adopted the mantra “Company over country,” explained to Sandberg that he wanted every American with an internet connection to have a Facebook account. For Sandberg, who once told a colleague that she’d been “put on this planet to scale organizations,” that turned out to be the perfect mission.

Facebook (now Meta) has become an avatar of all that is wrong with Silicon Valley. Its self-interested role in spreading global disinformation is an ongoing crisis. Recall, too, the company’s secret mood-manipulation experiment in 2012, which deliberately tinkered with what users saw in their News Feed in order to measure how Facebook could influence people’s emotional states without their knowledge. Or its participation in inciting genocide in Myanmar in 2017. Or its use as a clubhouse for planning and executing the January 6, 2021, insurrection. (In Facebook’s early days, Zuckerberg listed “revolutions” among his interests. This was around the time that he had a business card printed with I’M CEO, BITCH.)

And yet, to a remarkable degree, Facebook’s way of doing business remains the norm for the tech industry as a whole, even as other social platforms (TikTok) and technological developments (artificial intelligence) eclipse Facebook in cultural relevance.

To worship at the altar of mega-scale and to convince yourself that you should be the one making world-historic decisions on behalf of a global citizenry that did not elect you and may not share your values or lack thereof, you have to dispense with numerous inconveniences—humility and nuance among them. Many titans of Silicon Valley have made these trade-offs repeatedly. YouTube (owned by Google), Instagram (owned by Meta), and Twitter (which Elon Musk insists on calling X) have been as damaging to individual rights, civil society, and global democracy as Facebook was and is. Considering the way that generative AI is now being developed throughout Silicon Valley, we should brace for that damage to be multiplied many times over in the years ahead.

The behavior of these companies and the people who run them is often hypocritical, greedy, and status-obsessed. But underlying these venalities is something more dangerous, a clear and coherent ideology that is seldom called out for what it is: authoritarian technocracy. As the most powerful companies in Silicon Valley have matured, this ideology has only grown stronger, more self-righteous, more delusional, and—in the face of rising criticism—more aggrieved.

The new technocrats are ostentatious in their use of language that appeals to Enlightenment values—reason, progress, freedom—but in fact they are leading an antidemocratic, illiberal movement. Many of them profess unconditional support for free speech, but are vindictive toward those who say things that do not flatter them. They tend to hold eccentric beliefs: that technological progress of any kind is unreservedly and inherently good; that you should always build it, simply because you can; that frictionless information flow is the highest value regardless of the information’s quality; that privacy is an archaic concept; that we should welcome the day when machine intelligence surpasses our own. And above all, that their power should be unconstrained. The systems they’ve built or are building—to rewire communications, remake human social networks, insinuate artificial intelligence into daily life, and more—impose these beliefs on the population, which is neither consulted nor, usually, meaningfully informed. All this, and they still attempt to perpetuate the absurd myth that they are the swashbuckling underdogs.

Comparisons between Silicon Valley and Wall Street or Washington, D.C., are commonplace, and you can see why—all are power centers, and all are magnets for people whose ambition too often outstrips their humanity. But Silicon Valley’s influence easily exceeds that of Wall Street and Washington. It is reengineering society more profoundly than any other power center in any other era since perhaps the days of the New Deal. Many Americans fret—rightfully—about the rising authoritarianism among MAGA Republicans, but they risk ignoring another ascendant force for illiberalism: the tantrum-prone and immensely powerful kings of tech.

The Shakespearean drama that unfolded late last year at OpenAI underscores the extent to which the worst of Facebook’s “move fast and break things” mentality has been internalized and celebrated in Silicon Valley. OpenAI was founded, in 2015, as a nonprofit dedicated to bringing artificial general intelligence into the world in a way that would serve the public good. Underlying its formation was the belief that the technology was too powerful and too dangerous to be developed with commercial motives alone.

But in 2019, as the technology began to startle even the people who were working on it with the speed at which it was advancing, the company added a for-profit arm to raise more capital. Microsoft invested $1 billion at first, then many billions of dollars more. Then, this past fall, the company’s CEO, Sam Altman, was fired then quickly rehired, in a whiplash spectacle that signaled a demolition of OpenAI’s previously established safeguards against putting company over country. Those who wanted Altman out reportedly believed that he was too heavily prioritizing the pace of development over safety. But Microsoft’s response—an offer to bring on Altman and anyone else from OpenAI to re-create his team there—started a game of chicken that led to Altman’s reinstatement. The whole incident was messy, and Altman may well be the right person for the job, but the message was clear: The pursuit of scale and profit won decisively over safety concerns and public accountability.

Silicon Valley still attracts many immensely talented people who strive to do good, and who are working to realize the best possible version of a more connected, data-rich global society. Even the most deleterious companies have built some wonderful tools. But these tools, at scale, are also systems of manipulation and control. They promise community but sow division; claim to champion truth but spread lies; wrap themselves in concepts such as empowerment and liberty but surveil us relentlessly. The values that win out tend to be the ones that rob us of agency and keep us addicted to our feeds.

The theoretical promise of AI is as hopeful as the promise of social media once was, and as dazzling as its most partisan architects project. AI really could cure numerous diseases. It really could transform scholarship and unearth lost knowledge. Except that Silicon Valley, under the sway of its worst technocratic impulses, is following the playbook established in the mass scaling and monopolization of the social web. OpenAI, Microsoft, Google, and other corporations leading the way in AI development are not focusing on the areas of greatest public or epistemological need, and they are certainly not operating with any degree of transparency or caution. Instead they are engaged in a race to build faster and maximize profit.

None of this happens without the underlying technocratic philosophy of inevitability—that is, the idea that if you can build something new, you must. “In a properly functioning world, I think this should be a project of governments,” Altman told my colleague Ross Andersen last year, referring to OpenAI’s attempts to develop artificial general intelligence. But Altman was going to keep building it himself anyway. Or, as Zuckerberg put it to The New Yorker many years ago: “Isn’t it, like, inevitable that there would be a huge social network of people? … If we didn’t do this someone else would have done it.”

Technocracy first blossomed as a political ideology after World War I, among a small group of scientists and engineers in New York City who wanted a new social structure to replace representative democracy, putting the technological elite in charge. Though their movement floundered politically—people ended up liking President Franklin D. Roosevelt’s New Deal better—it had more success intellectually, entering the zeitgeist alongside modernism in art and literature, which shared some of its values. The American poet Ezra Pound’s modernist slogan “Make it new” easily could have doubled as a mantra for the technocrats. A parallel movement was that of the Italian futurists, led by figures such as the poet F. T. Marinetti, who used maxims like “March, don’t molder” and “Creation, not contemplation.”

The ethos for technocrats and futurists alike was action for its own sake. “We are not satisfied to roam in a garden closed in by dark cypresses, bending over ruins and mossy antiques,” Marinetti said in a 1929 speech. “We believe that Italy’s only worthy tradition is never to have had a tradition.” Prominent futurists took their zeal for technology, action, and speed and eventually transformed it into fascism. Marinetti followed his Manifesto of Futurism (1909) with his Fascist Manifesto (1919). His friend Pound was infatuated with Benito Mussolini and collaborated with his regime to host a radio show in which the poet promoted fascism, gushed over Mein Kampf, and praised both Mussolini and Adolf Hitler. The evolution of futurism into fascism wasn’t inevitable—many of Pound’s friends grew to fear him, or thought he had lost his mind—but it does show how, during a time of social unrest, a cultural movement based on the radical rejection of tradition and history, and tinged with aggrievement, can become a political ideology.

In October, the venture capitalist and technocrat Marc Andreessen published on his firm’s website a stream-of-consciousness document he called “The Techno-Optimist Manifesto,” a 5,000-word ideological cocktail that eerily recalls, and specifically credits, Italian futurists such as Marinetti. Andreessen is, in addition to being one of Silicon Valley’s most influential billionaire investors, notorious for being thin-skinned and obstreperous, and despite the invocation of optimism in the title, the essay seems driven in part by his sense of resentment that the technologies he and his predecessors have advanced are no longer “properly glorified.” It is a revealing document, representative of the worldview that he and his fellow technocrats are advancing.

Andreessen writes that there is “no material problem,” including those caused by technology, that “cannot be solved with more technology.” He writes that technology should not merely be always advancing, but always accelerating in its advancement “to ensure the techno-capital upward spiral continues forever.” And he excoriates what he calls campaigns against technology, under names such as “tech ethics” and “existential risk.”

Or take what might be considered the Apostles’ Creed of his emerging political movement:

We believe we should place intelligence and energy in a positive feedback loop, and drive them both to infinity … We believe in adventure. Undertaking the Hero’s Journey, rebelling against the status quo, mapping uncharted territory, conquering dragons, and bringing home the spoils for our community … We believe in nature, but we also believe in overcoming nature. We are not primitives, cowering in fear of the lightning bolt. We are the apex predator; the lightning works for us.

Andreessen identifies several “patron saints” of his movement, Marinetti among them. He quotes from the Manifesto of Futurism, swapping out Marinetti’s “poetry” for “technology”:

Beauty exists only in struggle. There is no masterpiece that has not an aggressive character. Technology must be a violent assault on the forces of the unknown, to force them to bow before man.

To be clear, the Andreessen manifesto is not a fascist document, but it is an extremist one. He takes a reasonable position—that technology, on the whole, has dramatically improved human life—and warps it to reach the absurd conclusion that any attempt to restrain technological development under any circumstances is despicable. This position, if viewed uncynically, makes sense only as a religious conviction, and in practice it serves only to absolve him and the other Silicon Valley giants of any moral or civic duty to do anything but make new things that will enrich them, without consideration of the social costs, or of history. Andreessen also identifies a list of enemies and “zombie ideas” that he calls upon his followers to defeat, among them “institutions” and “tradition.”

“Our enemy,” Andreessen writes, is “the know-it-all credentialed expert worldview, indulging in abstract theories, luxury beliefs, social engineering, disconnected from the real world, delusional, unelected, and unaccountable—playing God with everyone else’s lives, with total insulation from the consequences.”

The irony is that this description very closely fits Andreessen and other Silicon Valley elites. The world that they have brought into being over the past two decades is unquestionably a world of reckless social engineering, without consequence for its architects, who foist their own abstract theories and luxury beliefs on all of us.

Some of the individual principles Andreessen advances in his manifesto are anodyne. But its overarching radicalism, given his standing and power, should make you sit up straight. Key figures in Silicon Valley, including Musk, have clearly warmed to illiberal ideas in recent years. In 2020, Donald Trump’s vote share in Silicon Valley was 23 percent—small, but higher than the 20 percent he received in 2016.

The main dangers of authoritarian technocracy are not at this point political, at least not in the traditional sense. Still, a select few already have authoritarian control, more or less, to establish the digital world’s rules and cultural norms, which can be as potent as political power.

In 1961, in his farewell address, President Dwight Eisenhower warned the nation about the dangers of a coming technocracy. “In holding scientific research and discovery in respect, as we should,” he said, “we must also be alert to the equal and opposite danger that public policy could itself become the captive of a scientific-technological elite. It is the task of statesmanship to mold, to balance, and to integrate these and other forces, new and old, within the principles of our democratic system—ever aiming toward the supreme goals of our free society.”

Eight years later, the country’s first computers were connected to ARPANET, a precursor to the World Wide Web, which became broadly available in 1993. Back then, Silicon Valley was regarded as a utopia for ambitious capitalists and optimistic inventors with original ideas who wanted to change the world, unencumbered by bureaucracy or tradition, working at the speed of the internet (14.4 kilobits per second in those days). This culture had its flaws even at the start, but it was also imaginative in a distinctly American way, and it led to the creation of transformative, sometimes even dumbfoundingly beautiful hardware and software.

For a long time, I tended to be more on Andreessen’s end of the spectrum regarding tech regulation. I believed that the social web could still be a net good and that, given enough time, the values that best served the public interest would naturally win out. I resisted the notion that regulating the social web was necessary at all, in part because I was not (and am still not) convinced that the government can do so without itself causing harm (the European model of regulation, including laws such as the so-called right to be forgotten, is deeply inconsistent with free-press protections in America, and poses dangers to the public’s right to know). I’d much prefer to see market competition as a force for technological improvement and the betterment of society.

But in recent years, it has become clear that regulation is needed, not least because the rise of technocracy proves that Silicon Valley’s leaders simply will not act in the public’s best interest. Much should be done to protect children from the hazards of social media, and to break up monopolies and oligopolies that damage society, and more. At the same time, I believe that regulation alone will not be enough to meaningfully address the cultural rot that the new technocrats are spreading.

Universities should reclaim their proper standing as leaders in developing world-changing technologies for the good of humankind. (Harvard, Stanford, and MIT could invest in creating a consortium for such an effort—their endowments are worth roughly $110 billion combined.)

Individuals will have to lead the way, too. You may not be able to entirely give up social media, or reject your workplace’s surveillance software—you may not even want to opt out of these things. But there is extraordinary power in defining ideals, and we can all begin to do that—for ourselves; for our networks of actual, real-life friends; for our schools; for our places of worship. We would be wise to develop more sophisticated shared norms for debating and deciding how we use invasive technology interpersonally and within our communities. That should include challenging existing norms about the use of apps and YouTube in classrooms, the ubiquity of smartphones in adolescent hands, and widespread disregard for individual privacy. People who believe that we all deserve better will need to step up to lead such efforts.

Our children are not data sets waiting to be quantified, tracked, and sold. Our intellectual output is not a mere training manual for the AI that will be used to mimic and plagiarize us. Our lives are meant not to be optimized through a screen, but to be lived—in all of our messy, tree-climbing, night-swimming, adventuresome glory. We are all better versions of ourselves when we are not tweeting or clicking “Like” or scrolling, scrolling, scrolling.

Technocrats are right that technology is a key to making the world better. But first we must describe the world as we wish it to be—the problems we wish to solve in the public interest, and in accordance with the values and rights that advance human dignity, equality, freedom, privacy, health, and happiness. And we must insist that the leaders of institutions that represent us—large and small—use technology in ways that reflect what is good for individuals and society, and not just what enriches technocrats.

We do not have to live in the world the new technocrats are designing for us. We do not have to acquiesce to their growing project of dehumanization and data mining. Each of us has agency.

No more “build it because we can.” No more algorithmic feedbags. No more infrastructure designed to make the people less powerful and the powerful more controlling. Every day we vote with our attention; it is precious, and desperately wanted by those who will use it against us for their own profit and political goals. Don’t let them.

#artificial intelligence

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acceptccnow · 1 year ago

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Advancements in E-Commerce Credit Card Processing Techniques

Article by Jonathan Bomser | CEO | Accept-Credit-Cards-Now.com

The digital realm of e-commerce is a constantly shifting landscape, adapting to meet the ever-evolving needs of contemporary consumers. In today's age, the seamless acceptance of credit card payments remains a critical element for businesses. This article explores the most recent strides in e-commerce credit card processing techniques and their transformative impact on the operations of online businesses.

DOWNLOAD THE ADVANCEMENTS IN E-COMMERCE INFOGRAPHIC HERE

The Evolution of E-Commerce Credit Card Processing E-commerce has undergone a remarkable journey from basic payment gateways to the sophisticated systems of today. These innovations not only enhance transaction convenience but also significantly elevate security standards.

The High-Risk Challenge In sectors such as CBD or credit repair, navigating credit card processing can be intricate. Recent developments offer tailored solutions with high-risk merchant accounts and accompanying high-risk payment gateways. These tools provide the flexibility and security required to manage transactions effectively in high-risk industries.

Tailored Solutions for E-Commerce Generic payment processing systems fall short for e-commerce businesses. Specialized e-commerce merchant accounts cater specifically to online retailers, offering more than just payment processing. They provide insights into customer behavior and trends, empowering businesses to make data-driven decisions that enhance sales.

Streamlined Integration A significant advancement in e-commerce credit card processing is the seamless integration of payment gateways into websites. This integration eliminates the need for customers to leave the site to complete a transaction, thereby reducing cart abandonment rates. Online credit card processing becomes a natural part of the shopping journey.

The Role of Technology Cutting-edge technology, including machine learning and AI, plays a pivotal role in advancing credit card processing systems. Real-time detection and prevention of fraudulent transactions ensure the security of both businesses and customers. These technologies analyze extensive data, making instant decisions to approve or decline transactions.

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The Future of E-Commerce Credit Card Processing With e-commerce's continued surge in popularity, the demand for enhanced payment processing solutions will only escalate. Looking forward, exciting developments such as biometric authentication for payments are anticipated, promising improved security and convenience. Additionally, the further integration of cryptocurrencies into e-commerce payment gateways is expected, expanding payment options for consumers.

Advancements in e-commerce credit card processing have reshaped the digital business landscape. From handling high-risk transactions to offering specialized e-commerce solutions, these developments streamline processes and bolster security. With technology's continual evolution, the future holds promising prospects for e-commerce payment processing.

#high risk merchant account #merchant processing #payment processing #credit card processing #high risk payment gateway #high risk payment processing #accept credit cards #credit card payment #payment #Youtube

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frank-olivier · 7 days ago

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Humanity Amplified: The Emerging Era of AI Integration

The transformative ascent of Artificial Intelligence (AI) is a narrative of sustained innovation, culminating in a technology that is redefining the boundaries of human capability. Unlike the oft-perceived notion of an overnight breakthrough, AI's evolution is the result of a fifteen-year journey of enhancing data analysis, computational power, and refining neural network architectures. Pivotal milestones, such as AlphaGo's triumph and the pioneering application of GPUs in deep learning, have illuminated AI's vast potential in navigating complex problems, thereby solidifying its position as a burgeoning partner in human progress.

AI's current state is marked by its emergence as a versatile predictive tool, adept at deciphering the intricacies of human decision-making with unprecedented accuracy. This predictive capability, underpinned by the governing scaling laws, promises to democratize access to knowledge and expertise, thereby empowering a diverse array of individuals. The forthcoming integration of AI as a personalized "co-pilot" – offering bespoke learning pathways, medical advisement, creative inspiration, and emotional support – heralds a future where technology is inextricably intertwined with the human experience.

A forthcoming critical juncture is the development of AI systems endowed with expansive memory capabilities, poised to transform interactions from ephemeral exchanges to profound, long-term relationships. Concurrently, the diminishing cost of computational power sets the stage for a global AI adoption, transcending linguistic and geographical divides. Notably, the anticipated support for a broader spectrum of languages underscores AI's potential to bridge cultural chasms and foster a more interconnected global community.

The future human-AI interface is characterized by the evolution of AI into a deeply empathetic and introspective conversational companion. Enhanced by its capacity for "Chain of Thought" processes, AI will engage in reflective and iterative response refinement, marking a significant leap towards crafting interactions that are both productive and profoundly personal. This novel plane of communication, facilitated by AI's real-time comprehension and response to human emotions and needs, will redefine the paradigms of creation, collaboration, and connection.

To fully leverage AI's transformative potential, embracing a multifaceted mindset is paramount. In an era where collective intelligence is amplified by ubiquitous connectivity, proficiency across a broad spectrum of technical and social disciplines will distinguish the most impactful individuals. This necessitates a balanced approach, combining specialized expertise with a breadth of knowledge, to innovate at the intersections of disparate disciplines.

As humanity embarks on this extraordinary journey, it is evident that AI's true potential lies in its capacity to elevate and enhance the human experience. By embracing this transformative power with a curious, adaptable, and multidisciplinary mindset, we can ensure that the dawn of the AI era illuminates a future marked by increased brightness, compassion, and wonder, ultimately enriching the lives of all individuals.

Mustafa Suleyman: An exclusive interaction with Microsoft's AI CEO (Times Techies, November 2024)

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Sunday, November 17, 2024

#human ai collaboration #artificial intelligence future #innovation #technology #intelligence amplification #human experience #ai integration #future possibilities #human ai intersection #ai paradigm shift #intelligence augmentation #interview #ai assisted writing #machine art #Youtube

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accountsend · 1 year ago

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Optimizing B2B Contact Databases: Strategies for Better Targeting

Article by Jonathan Bomser | CEO | AccountSend.com

As a B2B business, your contact database is one of the most valuable assets you have. It enables targeted sales outreach, precision marketing, and effective lead generation, thus driving sales and growth. In this article, we will explore seven key strategies for enhancing your B2B contact database for superior targeting. By implementing these strategies, you can significantly enhance your targeting, boost conversions, and drive business growth.

DOWNLOAD THE B2B CONTACT DATABASES INFOGRAPHIC HERE

Regularly Cleanse and Update Your Database

A clean and updated B2B contact database is essential for effective sales prospecting and business development. Regularly purge outdated information, remove duplicates, and update existing contact data to maintain accuracy. CRM integration can automate this process, ensuring your database remains current and reliable. By keeping your database clean and up-to-date, you can ensure that your sales and marketing efforts are based on accurate and relevant information.

Segment Your Contact Database

Segmentation is a powerful tool for B2B lead generation and sales prospecting. It involves categorizing your database into distinct groups based on shared characteristics, such as industry type, company size, or role. This facilitates personalized communication, enhancing engagement and conversion rates. By segmenting your contact database, you can tailor your messaging and content to specific audience segments, increasing the relevance and effectiveness of your communication.

Implement a Lead Scoring System

Lead scoring is a crucial aspect of B2B lead generation and sales funnel optimization. It assigns value to each contact based on their potential to convert into a customer. It helps prioritize your outreach, ensuring you focus on high-value leads, which can lead to improved sales opportunities. By implementing a lead scoring system, you can allocate your resources effectively and focus on the leads that are most likely to result in conversions.

Embrace Account-Based Marketing (ABM)

Account-Based Marketing (ABM) is a highly effective B2B marketing strategy that targets specific high-value accounts with customized campaigns. Integrating ABM with your B2B contact database ensures a highly tailored approach, enhancing your chances of winning over key accounts. By aligning your marketing and sales efforts with the specific needs and preferences of target accounts, you can increase engagement and drive business growth.

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Leverage Data Analysis

Data analysis is a powerful tool for B2B lead generation and sales prospecting. It helps you uncover invaluable insights into your contacts' behavior and preferences, guiding your marketing and sales strategy. By analyzing data from your B2B contact database, you can make data-driven decisions and optimize your targeting efforts. You can also use data analysis to identify emerging markets and stay ahead of the competition.

Utilize AI for Enhanced Database Management

Artificial Intelligence (AI) is transforming the way B2B businesses manage their contact databases. AI-powered systems can automate tasks like data cleansing, lead scoring, and market segmentation, leaving your team free to focus on creating effective sales and marketing strategies. By leveraging AI technology, you can improve the efficiency and accuracy of your database management processes, saving time and resources.

Adopt a Continuous Improvement Approach

Data management is not a one-time activity. Consistently review your strategies and update them based on performance data and evolving market trends. This will keep your database agile and ensure your targeting remains effective. By continuously improving your B2B contact database and refining your targeting strategies, you can stay ahead of the competition and drive ongoing business growth.

In summary, optimizing your B2B contact database involves regular updates, effective segmentation, lead scoring, ABM, data analysis, AI integration, and a continuous improvement mindset. These strategies, when implemented correctly, can significantly enhance your targeting, boost conversions, and drive business growth. By leveraging the power of a well-optimized B2B contact database, you can unlock the full potential of your sales and marketing efforts.

#AccountSend #BusinessOwnersDatabase #VerifiedB2BEmails #B2BContactDatabase #CEOEmailAddresses #SalesLeadsDatabase #B2BEmailList #B2BLeadsDatabase #VerifiedBusinessLeads #B2BLeadsList #Youtube

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dubaiblog · 1 year ago

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The Future Horizon: Predictions and Expectations for Dubai's Digital Marketing Industry

In the heart of the Middle East, Dubai continues to shine as a global hub for innovation, commerce, and luxury. At the intersection of tradition and technology, Dubai's digital marketing industry has experienced substantial growth. The digital marketing companies in Dubai have been pivotal in driving this transformation, adapting to new trends, and paving the way for a dynamic future.

As we look ahead, it's time to explore the predictions and expectations that will shape the future of the digital marketing industry in Dubai.

Data-Driven Decision Making The digital marketing landscape is evolving at breakneck speed, and data-driven decision making is expected to become the bedrock of success for digital marketing companies in Dubai. As data becomes more accessible and user behavior is tracked with increasing accuracy, companies will harness this wealth of information to create highly targeted and personalized marketing campaigns.

In the words of an industry expert from Dubai's leading digital marketing company, "Data is the lifeblood of digital marketing. We expect to see even more sophisticated tools and technologies that enable us to analyze data in real-time, gaining deeper insights into customer behavior and preferences. This, in turn, will allow us to craft highly personalized marketing strategies that yield better results."

AI and Automation The integration of artificial intelligence (AI) and automation in digital marketing is already well underway, and it will continue to reshape the industry in Dubai. AI-powered chatbots, programmatic advertising, and automated content generation are just a few examples of how AI is being harnessed to streamline marketing efforts and enhance customer experiences.

"AI is a game-changer," notes a Dubai-based digital marketing expert. "It can analyze vast amounts of data, optimize campaigns in real-time, and even predict consumer behavior. This level of automation not only saves time but also ensures that marketing efforts are highly effective."

Content Continues to Reign In the digital realm, content is king, and this trend is expected to persist in Dubai's digital marketing landscape. Content marketing, in various forms, remains an essential tool for engaging audiences and providing value. Blogs, videos, infographics, and social media posts will continue to play a significant role in building brand identity and connecting with consumers.

One expert emphasizes, "Dubai's multicultural society presents a unique opportunity for content marketers. Crafting content that resonates with diverse audiences while maintaining cultural sensitivity is a challenge, but it's also a tremendous opportunity. Content that reflects Dubai's cosmopolitan nature will continue to be in high demand."

Mobile-First and Voice Search Optimization Dubai is a city of tech-savvy individuals who rely heavily on mobile devices. Hence, digital marketing companies in Dubai must prioritize mobile-first approaches to ensure that their clients' content and websites are fully optimized for mobile users.

Additionally, voice search optimization is gaining prominence. With the increasing popularity of voice assistants like Siri and Alexa, optimizing for voice search is essential for businesses to maintain their online visibility.

E-commerce Expansion The e-commerce sector in Dubai is on a rapid upward trajectory, and digital marketing companies are capitalizing on this growth. As consumers increasingly turn to online shopping, businesses in Dubai must adapt to this shift by developing comprehensive e-commerce strategies that include search engine optimization (SEO), pay-per-click advertising, and social media marketing.

The CEO of a prominent digital marketing company in Dubai affirms, "The future is e-commerce, and we see tremendous potential in helping our clients establish and expand their online stores. With the right digital marketing strategy, businesses can tap into the vast online consumer base that Dubai offers."

Multi-Channel Marketing Dubai's diverse population and cosmopolitan nature demand a multi-channel approach to marketing. Digital marketing companies are expected to utilize various platforms and channels, including social media, search engines, email marketing, and influencers, to reach their target audiences effectively.

"Multi-channel marketing allows us to connect with consumers wherever they are most active," explains a digital marketing specialist. "Dubai's audience is spread across different platforms, so being able to deliver consistent, personalized messages across these channels will be crucial."

Sustainability and Social Responsibility Dubai is embracing sustainability and social responsibility, and these values are expected to be integrated into the digital marketing landscape. Companies that demonstrate eco-friendly practices and a commitment to social causes will likely have a competitive edge.

A digital marketing expert in Dubai points out, "Sustainability and social responsibility are no longer just buzzwords. They are becoming critical aspects of brand identity. As digital marketers, we need to help our clients communicate their commitment to these values effectively."

Enhanced Visual Content Visual content, particularly video marketing, will continue to dominate the digital marketing landscape in Dubai. Businesses are investing in creating immersive and memorable visual experiences to engage their audiences effectively.

A Creative Director from a Dubai-based digital marketing agency says, "Visual content captures attention and conveys messages in a more compelling manner. From short video clips to high-quality productions, visual content will be integral to marketing strategies in Dubai."

Local and International Partnerships Dubai's strategic location at the crossroads of East and West makes it a prime destination for international business. Digital marketing companies in Dubai will increasingly form partnerships with both local and international brands, leveraging their connections to expand reach and influence.

One industry insider asserts, "Collaborations are key. Dubai's multicultural business environment fosters opportunities for partnerships. Digital marketing companies that can tap into this diversity will have a significant advantage."

In conclusion, the future of the digital marketing industry in Dubai is promising, with a strong emphasis on data-driven decision making, AI and automation, content marketing, mobile-first and voice search optimization, e-commerce, multi-channel strategies, sustainability, visual content, and both local and international partnerships. Dubai's unique blend of cultures and its commitment to technological advancements are driving this dynamic industry forward. As digital marketing companies in Dubai continue to innovate and adapt, they are well-positioned to lead the way in the region's ever-evolving digital landscape.

#digital marketing #digital marketing services #dubai #digital agency

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kylesvariouslistsandstuff · 2 years ago

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Quick Word on the Strike

Say it ain't so... A little over 15 years after the WGA strike of late 2007-early 2008, we have now entered *another* strike.

Whenever I'm not espousing animation opinions and hyperfixations on here, I'm actually writing stories and making comics.

It takes "writers" to tell the story, visually, among many other kinds of artists who get the short end of the stick in this capitalist hellscape. The strike is really exposing where people fall on this whole issue, and the utter indifference and even outright contempt some have towards the people that work their collective bums off to make your entertainment in the first place.

A lot of that is why I've really dialed back how I used to be online about animated features that I didn't think were up to my expectations. It's easy to rag on writers for... Well... Writing, that you don't think works. Most of the time, from my perspective and just simply listening to what filmmakers have to say, it's people making decisions that they think are the right ones at the right time, not knowing if they'll land some 1-2 years later. You certainly won't get that kind of honesty and perceived human mistakes with *AI*... I shudder at the current techbro circlejerking of this nonsense, and the consequences it could have on us artists, writers, and creatives... And we were already seeing some bleak stuff unfold in the industry pre and post-outbreak eras of COVID-19.

And especially in animation, too... What with mergers outright killing projects and whole studios (Disney shuttering Blue Sky in early 2021, and nearly killing NIMONA), favorites, and other completed things being thrown into a black hole - never to be seen again because they're now "tax write-offs". I don't care if that's how the business works, okay, it's inherently garbage that someone's hard work... Something someone worked years and years on... Can't be seen by the public because of green paper and abstract phony concepts. When a work of art is made, it's for the whole entire world, and that's all kinds of wrong to me. Warner Bros. Discovery CEO David Zaslav is essentially the poster-boy for this kind of thing, having done this to FINAL SPACE, a largely finished BATGIRL movie, and an entirely-completed SCOOB! prequel called HOLIDAY HAUNT. No work of media should have to be locked away in perpetuity, or in even some cases, erased from existence.

Which is why I also try to appreciate everything that actually *does* get out into the world, even if it's not to my liking. I notice some animation fans here and there vent their not-unfounded frustrations on things that aren't to blame. "Oh come on, and yet BIG MOUTH gets another season?" That's still a show that keeps people employed, and keeps roofs over their heads, food on their tables. Animators, writers, artists, etc. aren't living in posh mansions. They're always on the line...

(I realize BIG MOUTH is ending after its 8th season, but you get the idea, right?)

So... We shall see what this all means for live-action stuff going ahead, considering the big hit a lot of tentpole movies and TV shows took during the 2007-08 strike. The strike is often cited as the reason something like QUANTUM OF SOLACE underwhelmed, or why TRANSFORMERS: REVENGE OF THE FALLEN got such terrible reception in comparison to the first film (which got a more middling reception). As for animation writers, they already have it rough, so I can only imagine what kind of toll this will take on the crews and their projects going forward... But one thing's for certain, it's absurd that these conglomerate CEOs get richer and the writers have to strike in order to make things somewhat right. They deserve so much better. Don't give me that "it's how it goes" mumbojumbo, that's just an excuse to be okay with stuff that needs to be changed. Such indifference is the source of many other problems in this world...

Not to sound melodramatic, but human creativity is a beautiful thing to me... and often times, the business side of it gets too big for its britches and ruins what should be a universal thing, the universal language of telling stories. And that people have to turn that creativity and love of making art into something that merely keeps them alive. Barely, so... Yeah, it's all kinda messed up when you step back and look at it clearly for a second...

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crow-maki · 1 year ago

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Thoughts on AI

Most takes I see on this topic are…heated, to say the least. Understandably so — humans making art is something that ought to be celebrated and rewarded way more often than it is right now. We do, in fact, live in a capitalist hellscape that actively makes people miserable.

I fully expect a lot of people to respond angrily to this without reading the whole thing. But I think there's a lot of nuance in the topic that's being missed, and I really want discussions about the topic to be based in reality and not the overly dramatic version of reality that's been propagated in the last few months.

There is no TL;DR. If you absolutely need one, ask ChatGPT to make it for you or something. (Though it might be wrong; you'll never know.)

The Bare Minimum

I don't know of anyone outside of shitty CEOs who would argue that "not giving artists money is a good thing, actually." I mean that societally — obviously not everyone can afford to throw money at artists, and you shouldn't damage your own financial stability for someone else. Ensure your oxygen mask is secure before assisting others, so to speak. But I think most people, on both sides of the AI argument, agree that you shouldn't have to choose between making art and making a living.

Companies should hire and pay artists to make art.

Most of us aren't companies, and don't get to make those decisions. If you are making those decisions, though, and you could pay artists to make art but don't: what the fuck is wrong with you?

Great. Let's talk about stuff that's a little more nuanced than that.

Common Misconceptions

This section is necessary (and is going towards the top of this post) because I cannot stand seeing people being wrong on the internet argue moral stances based on total fabrications.

Most of these are based on my knowledge of Stable Diffusion and AI for image generation; from my understanding, large-language models like ChatGPT work similarly, but I have way less domain knowledge for LLMs.

Let's start with an easy one:

1. Prompting an AI feeds the AI. This is the easiest thing to clear up. I can download an AI model, take my computer offline, and generate as many images as I want with that model. If I then look at the model file, it has not changed. The AI is a conceptually simple transformation: it takes in text, turns that text into some numbers, does some math with those numbers, and then turns those numbers into pixels. There is no magic involved, no sentience, no upload to Google to let them know what I'm making.

That being said, using common online AI solutions like ChatGPT or Midjourney carries the risk of feeding future versions of the AI; most of these sites have a Terms of Service that say that any inputs you give it can be used to help train future versions, and that you shouldn't give it any sensitive data. This should be common sense in today's "always-online" tech world: read the fucking EULA, and don't send things over the internet you don't want being stored. My parents told me never to write something down if I didn't want anyone else reading it; this is the same concept.

2. AI art models contain stolen art. AI models are trained on absurd numbers of images. Stable Diffusion's dataset consists of over 2.3 billion images. That's something like 115 terabytes of data. The distributed Stable Diffusion model is 4 gigabytes. 0.003% as much data, if I did my math right.

This is a destructive process, meaning that it's impossible to get the original training data from the AI model. Nobody's distributing art, stolen or otherwise; they're distributing a mathematical codification of "what art tends to look like."

3. AI art models are collage machines. This one is a bit tougher to discuss, because it's only mostly wrong. Here's a simplified description of how Stable Diffusion (aka the most common AI art tool) works: it's fed that 2.3 billion image dataset, each image having been artificially "noised" (kind of like how JPEG compression artifacts work, but more so). Each of these images also comes with a text description of the image. Then it's shown the original images, as a goal end result. This is during the training phase, where it tries to come up with the numbers that make up its "brain" (not actually a brain, of course, because it's not sentient).

Essentially, the model is saying "how do I take a shitty image, and make it look right?"

Afterwards, a few images and text descriptions have been held back, and it tries to denoise them itself without having ever seen the original image. The training tool measures how accurate it was, and then changes the numbers inside the model to reduce that error amount. Over hundreds of thousands of iterations, this process repeats, until we decide it's "good enough."

Finally, the end result can be used to denoise an image that is itself completely random noise. We still provide a text input to direct the model, but the AI is essentially hallucinating details that aren't there. It's just not actually hallucinating, because again, it isn't sentient. It also doesn't understand what it's making. AI models don't think about how many fingers a human has, they don't count objects, they just go "here's what blobs of flesh-colored pixels tend to look like."

Now, if the AI doesn't have a lot of training data, it can try to exactly reproduce the art that's been used to train it. Spending too much time training the AI model will lead to this, in what's called "over-fitting"; too much of the training data has been stored in the AI model, and it's now just replicating the original data. The thing is, "over-fitting" is something AI models actively try to avoid. Nobody wants a 1-to-1 reproduction of existing art, after all; the entire point is to make something new.

3.5. Yeah, but signatures show up in generated images! They do! They're also entirely illegible, most of the time. The AI can tell "hey, most pieces of art have these squiggles in a corner, so this piece of art probably does too." It doesn't know what a signature is, how text works (let alone cursive), or anything else. It just sees a pattern and does its best to follow along.

In fact, the most legible watermark I've seen is for Getty Images; they've had so many images with the exact same watermark plastered everywhere on them that the AI was trained to recreate those original images by…plastering the watermark everywhere. Whoops.

4. ChatGPT is lying about (X). Okay, I see this one way too often. ChatGPT is, in essence, a very complex auto-complete. It's like those memes of "type (phrase here) on your phone and press the middle auto-complete and see what comes out." It's just really, really good at mimicking written text.

It does not understand what it's saying. It has no capacity for rational thought, or calculation, or anything. The fact that it appears to do so is a monument to how complicated of a model it is.

Large language models are categorized on the number of "parameters" they have; essentially, you can think of these as variables in a function. For the purposes of basic roleplaying AIs, you can get away with 13 billion parameters. These AIs won't have much "knowledge," but they can carry a semi-convincing conversation about mundane topics.

For LLMs that try to answer questions, models will usually use 30 billion to 65 billion parameters. 65 billion is about the limit for commercially available hardware. This is like training an auto-complete on the contents of Wikipedia. It has a lot of reference points of factual statements, and it can string them together convincingly, and so maybe it'll spit out something correct.

ChatGPT uses way more parameters than even that. It cannot be run on a home computer. It's a massive AI model that's very good at auto-completing text. It is still just a fancy auto-complete. It has no guarantee that anything it says is true. Please, please, do not blindly trust anything that ChatGPT tells you.

Was AI Training Done Ethically?

Here's the thing: there's no objective truth of ethics. We decide what's right and wrong based on our current cultural understanding, and changes to that culture will drastically impact our codes of ethics. Not only that, but ethics varies on an individual basis — there are certainly some people out there who would argue all kink is inherently wrong, for example, and others who disagree. So I can't provide an objective answer here for every single person.

What I will say is this: most existing research regarding the internet has used web scraping. If I can observe some non-identifying data without taking action, then I can use that observation in my research. It's historically been the responsibility of website owners to manage web scraping allowances; they pay for server bandwidth, after all, and it can be difficult to differentiate between a researcher gathering data and a malicious actor launching a DDoS attack.

These AI models have been generated by researchers, following this established code of conduct. The Stable Diffusion model was made freely available by those researchers. Companies took the model, tweaked things, and sold access to it (and the hardware they run it on).

At what point did the ethical issue occur? Does web scraping need to be regulated, ensuring researchers follow a stricter process for collecting data? If so, is there a specific type of data that should be restricted? "Personal data," like names and other information that can be used to identify an individual, is already restricted; maybe we can come up with some rules for web scraping involving copyrighted information?

Maybe instead the ethical issue occurred when the AI model was released to the public — but I'm personally not a fan of that, as peer review and reproducibility are key to the scientific process and probably shouldn't be discouraged…

Maybe it was when corporations sold access to their own versions of the model? Should there be limitations on "fair use" such that not-for-profit research can use web-scraped models, but for-profit corporations cannot? Where does something like ChatGPT fall, given that it has a free access tier (rate-limited, to protect against spam)?

Is AI Generation Art

Yes. Full stop.

Look, there's no way to consider "what makes art" without including things created by computers with human oversight.

If you're going to exclude AI art, how can you do so without excluding:

Glitch art

Procedural generation

3D art

Fractal art

Shader art

If you do exclude those, I think you're wrong…but at least you're consistent about believing digital artists are talentless hacks, I guess?

Is AI Generation Ethical?

Again, I can only really speak to my own understanding of morality. Namely, this:

If you use AI art to replace hiring human artists when you have the capability to do so, you're a piece of shit. Full stop.

If you're an artist who uses AI tools to augment your existing processes: cool! I want to hear more about yourself and your work!

It doesn't make sense to me to say that using Stable Diffusion is wrong just because it was created unethically; if that were the case, it'd also be ethically wrong to use Procreate because Apple devices are created in sweatshops. There's a boundary of usage versus creation, here.

Beyond that, here's the thing: AI generation is a tool. It is not a replacement for humans with actual working brains. You can make art with AI, but whether you can make good art with AI is up to your ability to use your brain.

I find that the way most people use AI art tools has more in common with art direction than traditional art. That's still a skill, and one that has to be worked at. It's what makes me feel weird about claiming the title of "artist" — I don't think art directors call themselves artists?

Finally, AI usage falls under the same ethical qualifications as any other tool usage. It's equally as wrong to use AI to manufacture propaganda as it is to deepfake propaganda as it is to photoshop propaganda as it is to take manipulative photos to create propaganda —

I personally think it's fucked up to mimic other contemporary artist's styles. If the artist's work has passed into the public domain? I think anything created "in the style of Monet" is more about Monet than an actual attempt at forgery. But that's a more personal ethical boundary.

But really, it boils down to this: the tools exist. Don't post other people's work on the internet, whether that's on Wattpad or ChatGPT. But the models exist, and some random person using Stable Diffusion isn't gonna affect whether or not those models continue to exist.

The technology is already out there; the genie isn't going back in the bottle. It's too late to argue over whether or not the tools should exist in the first place. Let's actually discuss what responsible usage looks like.

#ai art #discourse

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quantumaie · 2 days ago

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Quantum AI: Elon Musk’s Vision for the Future of Technology

In the rapidly evolving world of artificial intelligence (AI), the name Elon Musk is synonymous with innovation, from launching revolutionary technologies like electric cars and rockets to his ambitious ventures in AI and neural interfaces. However, one of the more intriguing concepts that Musk has recently touched upon is the potential of combining quantum computing with artificial intelligence, a concept known as Quantum AI.

What is Quantum AI?

Quantum AI Elon Musk represents the fusion of two groundbreaking technologies: quantum computing and artificial intelligence. Quantum computing leverages the principles of quantum mechanics, which governs the behavior of particles at the subatomic level. Unlike classical computers that process information in binary (0s and 1s), quantum computers utilize quantum bits, or qubits, that can exist in multiple states at once. This property, known as superposition, allows quantum computers to solve certain types of problems exponentially faster than their classical counterparts.

Artificial intelligence, on the other hand, involves creating algorithms and models that enable machines to learn from data, adapt to new inputs, and perform tasks that would traditionally require human intelligence. When combined, quantum AI has the potential to significantly enhance machine learning capabilities, enabling computers to process and analyze vast amounts of data at an unprecedented rate.

Elon Musk’s Interest in Quantum AI

Elon Musk’s relationship with AI is well-known, but his interest in quantum computing adds a new dimension to his technology-driven vision. Musk is the CEO of several innovative companies, including Tesla, SpaceX, and Neuralink, which are all centered on transforming human existence through advanced technologies. While Musk has expressed concern about the dangers of uncontrolled AI, particularly through his vocal criticism of the development of AGI (Artificial General Intelligence), his stance on Quantum AI is more nuanced.

Musk’s ventures and public statements suggest that he sees quantum AI as a potential game-changer, capable of solving some of the most complex problems humanity faces. Whether it's through SpaceX’s mission to Mars, Tesla’s advancements in autonomous driving, or Neuralink’s goal of merging the human brain with AI, the application of quantum computing could significantly accelerate the progress of these initiatives.

Quantum AI and Space Exploration

One of the most significant applications of Quantum AI, from Musk's perspective, is in space exploration. SpaceX's goal of making life multiplanetary hinges on solving complex problems related to propulsion, resource extraction, and navigation. Quantum AI could help optimize rocket design and flight simulations, leading to more efficient space travel.

Additionally, quantum AI could play a pivotal role in analyzing vast datasets from space missions. The vast quantities of data produced by telescopes, satellites, and Mars rovers are overwhelming for traditional computing systems. Quantum AI could analyze this data at a much faster rate, potentially unlocking new insights about the universe, helping SpaceX advance its missions faster.

Revolutionizing Autonomous Vehicles

Another key area where Quantum AI could be transformative is in autonomous driving. Tesla has long been a pioneer in electric vehicles and autonomous driving technologies, but perfecting self-driving cars requires solving complex real-time decision-making problems. Tesla’s AI models process immense amounts of data from sensors and cameras to make split-second driving decisions.

Quantum AI could take this to the next level by optimizing algorithms used in machine learning models. With the ability to analyze larger datasets and process them faster, quantum AI could enhance Tesla’s ability to predict and respond to unpredictable driving conditions, further advancing the safety and reliability of self-driving vehicles.

Quantum AI and Neuralink

Musk’s company Neuralink seeks to merge the human brain with AI, creating a symbiotic relationship between humans and machines. Quantum AI could potentially be a key enabler in this endeavor. The high computational power of quantum computers could help decode complex neural signals, allowing for more advanced brain-computer interfaces (BCIs). This could help overcome the current limitations of understanding the human brain, enabling more precise control over prosthetics or even facilitating direct communication between the brain and machines.

Challenges Ahead for Quantum AI

While the potential applications of Quantum AI are vast, significant challenges remain in bringing it to fruition. Quantum computers are still in their infancy. Quantum systems are highly sensitive to external factors, making them prone to errors, and they require extremely cold environments to function, which adds to the complexity of scaling them for practical use. Moreover, current AI models need to be adapted to take advantage of quantum processing capabilities, which requires a new generation of algorithms and expertise.

Musk himself has highlighted the potential risks associated with AI, especially when it is combined with other disruptive technologies. As powerful as Quantum AI could be, it raises ethical concerns, including its possible role in weaponization or misuse. Musk’s caution in the development of AI highlights the importance of building safeguards around emerging technologies like Quantum AI to ensure they are used responsibly.

The Road Ahead

Quantum AI is still a developing field, and while we are likely years away from seeing its full impact, the possibilities it presents are nothing short of groundbreaking. Elon Musk, with his track record of pushing the boundaries of technology, is undoubtedly aware of the transformative power that Quantum AI could have on a wide range of industries. Whether it’s advancing space exploration, revolutionizing autonomous vehicles, or developing brain-computer interfaces, the integration of quantum computing and AI could unlock new realms of innovation.

However, it’s important to remember that the road to practical Quantum AI is fraught with obstacles. As the technology continues to mature, the involvement of companies like Tesla, SpaceX, and Neuralink will be pivotal in shaping its future applications and ensuring that it benefits humanity as a whole. Musk's forward-thinking mindset and his ability to harness cutting-edge technologies could very well place him at the forefront of the Quantum AI revolution.

For more info:-

Quantum AI Official Website

Quantum AI Elon Musk

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aicerts0 · 4 days ago

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AI: The Hottest Skill of 2024 – Here’s Why You Should Care

Generative AI is set to revolutionize the job market, with its influence varying significantly based on labor market conditions and other demand drivers. Executive leaders, together with their HR partners, must utilize this research to create strategies that future-proof their workforce. As investments in generative AI and broader AI technologies surge, many traditional tasks will become obsolete, and certain roles will fade.

According to Pluralsight AI Skills Report, 81% of IT workers believe they can employ artificial intelligence, but just 12% have the necessary skills. Additionally, 70% of workers will most certainly need to improve their AI skills.

With AI’s rapid growth, the career opportunities in this field are expanding just as quickly. Let’s dive into the various career paths available for those equipped with AI skills.

In this blog, we will explore why AI is becoming essential across industries, what’s driving its rapid adoption, and why you should consider diving into this emerging field.

Why AI is a Hot Skill

Sundar Pichai, CEO of Alphabet Inc., encapsulated the significance of AI when he said, “AI is one of the most important things humanity is working on. It is more profound than, I don’t know, electricity or fire.” This statement underscores AI’s potential to revolutionize our world, making it a hot skill in today’s job market.

However, this technological shift will create a demand for new skills and roles, making AI a hot skill in the evolving job landscape. This presents both exciting opportunities and challenges for the workforce.

AI’s rise to prominence can be attributed to several key factors. Technological advancements, increased data availability, and the push for automation are at the forefront of this revolution.

AI systems can now process vast amounts of data, recognize patterns, and make decisions with minimal human intervention. This capability is invaluable in sectors ranging from healthcare to finance, where efficiency and accuracy are paramount.

AI as a Hot Skill Transforming Industries

AI is rapidly changing job roles and creating demand across critical sectors. Here are a few industries where AI skills are making the most impact:

Finance: AI strengthens fraud detection and risk management while enhancing customer support, making financial services safer and more user-friendly.

Retail: AI personalizes shopping, optimizes inventory, and forecasts trends, benefiting both customers and retailers.

Education: AI enables personalized learning and automates administrative tasks, making education more efficient and accessible.

Human Resources: AI improves recruitment, employee engagement, and performance tracking, turning HR into a data-driven function.

Marketing: AI enables deep consumer insights, more precise campaigns, and faster content creation, making marketing efforts highly targeted.

Public Safety: AI assists in crime prediction, emergency response, and surveillance, enhancing community safety and response capabilities.

AI Career Opportunities

The AI landscape offers a plethora of career paths, each with its unique set of challenges and rewards. Some of the most sought-after roles include:

Data Scientists: These professionals analyze and interpret complex data to help organizations make informed decisions. They use machine learning algorithms to predict trends and identify patterns.

Machine Learning Engineers: They design and implement machine learning models that enable systems to learn and improve from experience. Their work is crucial in developing AI applications.

AI Researchers: Focused on advancing the field of AI, these experts conduct cutting-edge research to develop new algorithms and technologies.

Consider the success story of Julia, she started her career as a software developer but always had a keen interest in machine learning. She decided to pursue this passion by taking online certification and working on personal projects. Her dedication paid off when she transitioned into a freelance career, specializing in AI and machine learning. Julia’s expertise and innovative solutions quickly gained recognition, leading her to establish her own AI startup. Today, her company is known for developing cutting-edge AI applications that solve real-world problems, showcasing how continuous learning and perseverance can lead to entrepreneurial success.

As these career paths become more defined, the demand for AI skills continues to rise. Let’s explore the current demand for AI expertise in the job market.

AI Skill Demand

The demand for AI skills is increasing, with job postings requiring AI expertise increasing exponentially. Let us look at how:

According to a report by LinkedIn, AI specialist roles have seen a 74% annual growth rate over the past four years.

This surge is driven by companies across various sectors recognizing the value of AI in enhancing their operations and gaining a competitive edge.

A recent study by Gartner predicts that by 2025, AI will create 2.3 million jobs while eliminating 1.8 million, resulting in a net gain of 500,000 jobs.

This shift underscores the importance of acquiring AI skills to stay relevant in the evolving job market.

Due to the need for improved operations and a competitive edge, industries such as financial services, healthcare, and technology are experiencing the greatest demand for AI positions as technology advances.

With such high demand, it’s no surprise that AI professionals are commanding impressive salaries. Let’s take a closer look at the salary trends for AI roles.

AI Salary Trends

AI professionals are among the highest-paid in the tech industry. Salaries vary based on role, experience, and location, but the overall trend is upward. For instance, according to Coursera the entry-level AI engineers can expect to earn between $80,000 and $120,000 annually, while experienced professionals can command salaries upwards of $150,000.

Looking at these trends, it’s clear that the future is bright for those with AI skills. Let’s explore the outlook for AI careers and the emerging fields within this dynamic industry.

AI Future Outlook

The future of AI is brimming with possibilities. As AI technology continues to evolve, new job roles and opportunities will emerge. Fields such as AI ethics, AI in healthcare, and AI-driven cybersecurity are expected to grow significantly. Let us discuss each now:

The goal of AI ethics is to minimize biases and safeguard privacy by guaranteeing accountability, transparency, and fairness in AI systems.

AI improves patient care, treatment planning, and diagnosis, resulting in more precise and effective healthcare delivery.

By using AI to identify irregularities, automate attack responses, and anticipate security breaches, AI-Driven Cybersecurity helps safeguard private data from ever changing online threats.

These domains demonstrate AI’s capacity to solve important problems and encourage creativity.

Imagine a world where AI not only assists but also collaborates with humans in creative processes. AI could help artists generate new forms of art, assist scientists in groundbreaking research, and even aid in solving complex global challenges like climate change.

With all these exciting developments, now is the perfect time to dive into the world of AI. Whether you’re a recent graduate or a seasoned professional looking to pivot, acquiring AI skills can open doors to a rewarding and impactful career.

Takeaways

Due to automation and technology breakthroughs, artificial intelligence is becoming a vital ability in today’s workforce.

The number of AI expert positions has increased by 74% annually.

AI is expected to provide a net gain of 500,000 employment by 2025.

Expertise in AI is highly sought after in industries including cybersecurity, healthcare, and finance.

To remain competitive, obtaining certificates in AI literacy is crucial.

Adopting AI puts you at the forefront of innovation and opens doors to lucrative employment opportunities.

Conclusion

In summary, AI is undeniably the hottest skill of 2024. Its rapid adoption across industries, coupled with the growing demand for AI expertise, presents a wealth of career opportunities. From data scientists to machine learning engineers, AI professionals are shaping the future of technology and society.

AI will undergo revolutionary developments within the next five to ten years. AI will advance individualized medicine, advance scientific research, and promote environmental sustainability. Along with developing immersive digital experiences in the metaverse and cryptocurrencies, it will also be vital to foreign policy. AI will play a crucial role in our future because of these developments, which will transform technology, healthcare, and international policy. Are you very thrilled about any particular developments in AI?

To stay competitive, you should gain AI literacy through trending AI certifications like the like AI data & Robotics AI Essentials, AI development. These certifications will equip you with the necessary skills and knowledge to excel in the rapidly evolving AI landscape.

Ready to jumpstart your AI career? Start learning today and be part of the future! Numerous online courses, bootcamps, and certifications are available to help you gain the necessary skills and knowledge. Embrace the AI revolution and position yourself at the forefront of this transformative field

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investmentguide777 · 5 days ago

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Unlock Record-Breaking Returns with AI Crypto Trading—Join Today

fx273 reviews have highlighted a groundbreaking advancement in the cryptocurrency market: the introduction of AI-driven trading technology that promises record-breaking returns. FX273 is excited to announce the launch of its latest AI crypto trading platform, designed to revolutionize how investors engage with the digital asset landscape. This innovative platform leverages artificial intelligence to analyze market trends, predict price movements, and execute trades with unparalleled precision, offering users the opportunity to maximize their investment potential like never before.

In the fast-paced world of cryptocurrency, achieving consistent and substantial returns has always been a significant challenge. fx273 reviews emphasize the necessity of advanced technology to navigate the volatile market effectively. FX273's AI-powered trading system addresses this need by providing real-time insights and automated trading strategies that adapt to market fluctuations. This ensures that investors can capitalize on opportunities swiftly, minimizing risks while maximizing gains.

"The launch of our AI crypto trading platform marks a significant milestone for FX273 and our users," stated the CEO of FX273. "Our goal is to empower investors with the tools they need to achieve record-breaking returns, and the positive feedback from fx273 reviews confirms that we are on the right path."

The relevance of this announcement cannot be overstated. As the cryptocurrency market continues to grow and evolve, the demand for sophisticated trading tools increases. fx273 reviews have consistently praised FX273 for its commitment to innovation and excellence. By integrating AI into its trading platform, FX273 is setting a new standard in the industry, providing users with a competitive edge that was previously unattainable.

FX273's AI technology is designed to learn and adapt continuously, ensuring that the trading strategies remain effective even as market conditions change. fx273 reviews highlight the platform's ability to process vast amounts of data in real-time, identifying patterns and trends that human traders might miss. This level of precision and efficiency is crucial for achieving the high returns that investors seek.

"AI technology is transforming the way we invest in cryptocurrency," the CEO added. "With our new platform, as fx273 reviews show, investors can unlock unprecedented returns by leveraging the power of artificial intelligence."

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The introduction of AI crypto trading technology is a timely response to the growing demand for advanced investment solutions. fx273 reviews illustrate how FX273 is addressing the challenges faced by investors today, offering a reliable and efficient way to achieve significant financial growth. By combining cutting-edge technology with a user-centric approach, FX273 is poised to lead the industry into a new era of cryptocurrency trading.

"Investors today need tools that can keep up with the dynamic nature of the crypto market," the CEO explained. "Our AI trading platform, as evidenced by fx273 reviews, provides the agility and intelligence required to stay ahead and achieve record-breaking returns."

For those looking to enhance their investment strategies and achieve remarkable financial success, FX273 offers a comprehensive solution. The platform's ability to deliver consistent and substantial returns is a testament to the effectiveness of its AI-driven approach, as confirmed by numerous fx273 reviews.

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cryptoguideforu · 8 days ago

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Watch Your Portfolio Multiply with AI-Driven Crypto Strategies

In an exciting development for the cryptocurrency trading community, UCMarketsFX proudly unveils its latest AI-driven trading solution, designed to help users achieve unparalleled growth in their crypto portfolios. The launch of this cutting-edge platform marks a new era of intelligent, automated trading for investors at all levels. For a comprehensive overview, visit Ucmarketsfx reviews to learn how AI technology from UCMarketsFX is revolutionizing crypto strategies and setting traders on the path to substantial gains.

Revolutionizing Crypto Investments with AI

The new AI-driven platform from UCMarketsFX empowers traders with real-time data analysis and predictive insights, harnessing advanced machine learning algorithms to anticipate market trends and optimize trade execution. This breakthrough in crypto trading technology equips investors with tools to navigate volatile market conditions with precision and confidence. Detailed feedback on this innovative platform can be found in Ucmarketsfx reviews, where traders and experts delve into the features that set UCMarketsFX apart.

The cryptocurrency market’s high volatility has long been both an opportunity and a challenge for traders. UCMarketsFX’s CEO emphasized, "Our AI platform is a game-changer, helping investors make smarter, data-driven decisions while maximizing growth opportunities in real time." As shown in Ucmarketsfx reviews, UCMarketsFX’s AI-powered technology provides a competitive edge, transforming the way traders interact with the crypto market.

AI-Driven Features Elevating Trading Performance

UCMarketsFX’s platform comes with an array of advanced features that redefine crypto trading. Key benefits include:

Automated Decision-Making: By analyzing vast datasets in seconds, the AI-driven platform empowers traders to make quick, accurate decisions.

Advanced Predictive Analysis: With machine learning algorithms trained on historic and real-time market data, the platform anticipates price movements, offering traders a chance to stay one step ahead.

User-Friendly Interface: Intuitive and easy to use, the platform caters to traders with varying experience levels, providing seamless access to complex trading strategies.

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Insights from Industry Experts

UCMarketsFX’s commitment to delivering high-performance trading tools is resonating with traders and analysts alike. An industry expert commented, “The new AI platform from UCMarketsFX is setting a new standard for automated trading, blending technology with usability. UCMarketsFX’s intuitive interface and AI-powered tools give traders everything they need to succeed in today’s competitive market.” To learn more about what makes this platform effective, visit Ucmarketsfx reviews and explore first-hand accounts from real users.

The CEO of UCMarketsFX added, “Our team is dedicated to continuous innovation and improvement, which is why we’ve integrated AI into every aspect of the platform. We want every trader, from beginner to pro, to experience a smarter way to grow their investments.” For insights on how this technology supports user success, head over to Ucmarketsfx reviews and read about how AI is reshaping crypto trading.

Performance-Driven Trading Solutions for All Investors

UCMarketsFX’s AI-driven trading solution is accessible to a wide range of investors, whether you’re just starting or are an experienced trader. The platform’s features allow for personalized trading experiences, enabling users to adapt strategies based on their goals and risk tolerance. UCMarketsFX has taken extra measures to ensure that its platform is both flexible and comprehensive, providing users with a complete suite of tools for successful trading. Visit Ucmarketsfx reviews to discover more about how UCMarketsFX is transforming crypto trading with AI-driven technology.

The platform also offers real-time alerts to keep users updated on critical market changes, allowing traders to respond quickly to profitable opportunities. For security-conscious investors, UCMarketsFX has embedded robust cybersecurity measures to protect user data and assets. Insights on these security features and more can be explored in Ucmarketsfx reviews, offering valuable context for why UCMarketsFX is a top choice for crypto traders worldwide.

Staying Ahead in a Rapidly Evolving Market

As the cryptocurrency market grows in complexity, UCMarketsFX’s AI-powered platform is a timely solution that meets the needs of modern traders. In-depth analyses on Ucmarketsfx reviews highlight how this platform leverages AI to give traders an edge, enabling them to act faster and make more informed decisions in a market where timing is everything. By combining automation with actionable insights, UCMarketsFX’s platform gives users the confidence to navigate unpredictable market conditions with ease.

Industry experts agree that UCMarketsFX’s AI-driven solution addresses key challenges in crypto trading. An experienced crypto analyst shared, “AI brings a unique advantage to trading, reducing the time and effort required for manual analysis. The UCMarketsFX platform excels at streamlining the trading process, enabling traders to focus on growth without getting bogged down by market data.” Check out Ucmarketsfx reviews to see what industry leaders and traders have to say about the platform’s impact.

Start Your Journey with UCMarketsFX’s AI-Driven PlatformFor those looking to take their crypto investments to the next level, UCMarketsFX’s AI-powered platform offers an exceptional opportunity. With intelligent automation, real-time insights, and a user-focused design, this solution makes crypto trading accessible and profitable for all. Join the community of traders who have seen their portfolios grow with UCMarketsFX by reading Ucmarketsfx reviews and starting your journey toward explosive portfolio growth.

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frank-olivier · 27 days ago

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The AI Dilemma: Balancing Benefits and Risks

One of the main focuses of AI research is the development of Artificial General Intelligence (AGI), a hypothetical AI system that surpasses human intelligence in all areas. The AGI timeline, which outlines the expected time frame for the realization of AGI, is a crucial aspect of this research. While some experts predict that AGI will be achieved within the next few years or decades, others argue that it could take centuries or even millennia. Regardless of the time frame, the potential impact of AGI on human society and civilization is enormous and far-reaching.

Another important aspect of AI development is task specialization, where AI models are designed to excel at specific tasks, improving efficiency, productivity, and decision-making. Watermarking technology, which identifies the source of AI-generated content, is also an important part of AI development and addresses concerns about intellectual property and authorship. Google's SynthID technology, which detects and removes AI-generated content on the internet, is another significant development in this field.

However, AI development also brings challenges and concerns. Safety concerns, such as the potential for AI systems to cause harm or injury, must be addressed through robust safety protocols and risk management strategies. Testimonials from whistleblowers and insider perspectives can provide valuable insight into the challenges and successes of AI development and underscore the need for transparency and accountability. Board oversight and governance are also critical to ensure that AI development meets ethical and regulatory standards.

The impact of AI on different industries and aspects of society is also an important consideration. The potential of AI to transform industries such as healthcare, finance and education is enormous, but it also raises concerns about job losses, bias and inequality. The development of AI must be accompanied by a critical examination of its social and economic impacts to ensure that the benefits of AI are distributed fairly and the negative consequences are mitigated.

By recognizing the challenges and complexities of AI development, we can work toward creating a future where AI is developed and deployed in responsible, ethical and beneficial ways.

Ex-OpenAI Employee Reveals Terrifying Future of AI (Matthew Berman, June 2024)

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Ex-OpenAI Employees Just Exposed The Truth About AGI (TheAIGRID, October 2024)

youtube

Anthropic CEO: AGI is Closer Than You Think [machines of loving grace] (TheAIGRID, October 2024)

youtube

AGI in 5 years? Ben Goertzel on Superintelligence (Machine Learning Street Talk, October 2024)

youtube

Generative AI and Geopolitical Disruption (Solaris Project, October 2024)

youtube

Monday, October 28, 2024

#agi #ethics #cybersecurity #critical thinking #research #software engineering #paper breakdown #senate judiciary hearing #ai assisted writing #machine art #Youtube #interview #presentation #discussion

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ai-network · 10 days ago

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Investment Dynamics in AI Infrastructure: Renovus Capital

The acceleration of digital transformation is creating an unprecedented demand for robust, scalable, and secure infrastructure. As businesses race to adopt artificial intelligence (AI) and machine learning (ML) capabilities, they need an underlying infrastructure that can support these technologies, while also addressing operational efficiency, data security, and disaster resilience. One significant development in this sector is the recent investment by Renovus Capital Partners, a Philadelphia-based private equity firm, in Performive—a managed IT services provider specializing in cloud, infrastructure, and cybersecurity solutions. This move exemplifies the latest dynamics in AI infrastructure investment, where capital is flowing toward firms with the expertise and technological foundation to support the AI revolution. In this article, we’ll explore why such investments are crucial and how they signal broader shifts in technology, security, and business strategy. The Investment Landscape: Why Infrastructure is Critical for AI Growth The growing emphasis on digital-first business strategies has increased the demand for cloud services and managed IT solutions that can seamlessly support AI workloads. Key sectors such as finance, healthcare, and manufacturing are adopting AI-driven insights, from predictive analytics to automated decision-making. To ensure these technologies run smoothly and securely, companies need reliable infrastructure that can handle massive volumes of data and complex computational tasks. This is where managed IT service providers like Performive play a critical role. Renovus’s investment in Performive underscores the market’s recognition that scalable and secure IT infrastructure is foundational to the adoption and expansion of AI technologies. For private equity firms, this type of investment is strategic: it positions them at the forefront of an industry undergoing transformation, poised to see high growth as AI adoption rates increase. Performive’s Role in AI-Driven Digital Transformation Founded in 2005, Performive has earned a strong reputation in the mid-market enterprise segment by offering mission-critical services tailored to organizations that require both scalability and robust cybersecurity. With services spanning cloud management, infrastructure optimization, and data security, Performive addresses key needs that arise as companies leverage AI to enhance customer experience, streamline operations, and make more informed business decisions. Gary Simat, Performive’s Co-Founder and CEO, emphasized the significance of this partnership, describing it as a "pivotal moment" for the company’s future. This capital injection will not only fuel Performive's growth but also enable it to expand its service offerings, acquire complementary businesses, and strengthen its technical capabilities—all with the goal of better supporting AI-ready infrastructure for mid-sized enterprises across the U.S. Strategic Implications for AI Infrastructure Investments Private equity firms, including Renovus, have developed investment theses around differentiated managed service providers (MSPs) with recurring revenue streams, vital service offerings, and a strong commitment to customer service. Performive’s fit within this framework illustrates several important trends in the AI infrastructure market: - Scalability and Flexibility: As companies incorporate AI into core processes, they require scalable infrastructure solutions that can evolve with their growth. Performive’s cloud and infrastructure services are designed to provide this flexibility, allowing clients to adapt their IT resources based on demand. - Enhanced Security and Compliance: AI applications often involve sensitive data, whether in healthcare, finance, or other industries. Performive’s focus on cybersecurity positions it as a valuable partner for companies that must navigate stringent regulatory requirements, ensuring that AI initiatives do not compromise data integrity. - Customer-Centric Innovation: Renovus’s backing will allow Performive to continue to refine its customer experience, a crucial differentiator as businesses seek IT providers that offer high-touch, customizable solutions. By investing in innovation, Performive can stay ahead of the technology curve, ensuring its clients benefit from the latest advances in AI infrastructure. - AI and MLOps (Machine Learning Operations): With AI applications growing more complex, MLOps—practices that streamline the development and deployment of machine learning models—has become a priority for infrastructure providers. Performive is expected to channel some of the new funding toward enhancing its MLOps capabilities, which will make it easier for companies to deploy, manage, and monitor AI applications effectively. Broader Market Trends: AI, Cloud, and Cybersecurity The infrastructure segment of the AI ecosystem has been a major focus for investment, especially as enterprises accelerate cloud adoption and seek advanced data management solutions. According to recent studies, global spending on AI is projected to reach $300 billion by 2030, with infrastructure investments comprising a large portion of that total. Renovus’s recent move to partner with Performive aligns with these projections and reflects the growing importance of infrastructure providers in the AI value chain. With increasing cyber threats, there is also a heightened focus on security within AI applications. Managed IT service providers, particularly those offering cybersecurity alongside cloud infrastructure, are in a strong position to meet this demand. Performive’s investment in cybersecurity solutions will likely continue to be a critical component of its service offering as it grows. The Future of AI Infrastructure Investment Renovus’s partnership with Performive is just one of many signs that AI infrastructure will remain a high-priority investment area. Other private equity and venture capital firms are similarly seeking companies that are well-positioned to support the deployment of AI solutions across industries. Looking forward, we can expect a few key developments in this space: - Increased Mergers and Acquisitions: As companies look to scale their offerings, we may see a rise in mergers and acquisitions among MSPs, cloud providers, and data management firms. For instance, Performive may consider acquiring smaller companies with specialized technology to further bolster its capabilities. - Focus on Edge Computing: With the expansion of IoT and real-time AI applications, edge computing is gaining traction as a way to process data closer to its source. Investments in edge-compatible infrastructure will likely grow, enabling faster, more efficient AI-driven insights. - Ethics and AI Governance: As infrastructure providers help companies deploy AI at scale, they will also play a role in upholding ethical standards and AI governance. Managed IT providers may increasingly offer compliance solutions that help clients navigate ethical challenges and regulatory requirements. - Emphasis on Sustainable Infrastructure: The environmental impact of AI infrastructure is drawing scrutiny. Providers like Performive will be expected to implement sustainable practices, from energy-efficient data centers to carbon-neutral cloud offerings, aligning with broader corporate sustainability goals. Conclusion: The Strategic Role of AI Infrastructure in a Data-Driven World Renovus Capital Partners’ investment in Performive demonstrates the vital role that infrastructure will play in the AI ecosystem. As companies integrate AI and ML technologies into their operations, the demand for secure, scalable, and resilient infrastructure is more urgent than ever. Performive’s growth trajectory, backed by Renovus, is likely to set a benchmark for the industry, showing how managed service providers can adapt and thrive in an increasingly AI-driven world. For mid-market enterprises, partnerships like this one mean access to high-quality, customer-centered infrastructure that supports digital transformation. Looking ahead, AI infrastructure will continue to attract substantial investment, not only from private equity but also from other strategic investors who see the potential in fueling the next wave of AI-powered business innovation. Read the full article

#AIinfrastructure #AIinvestmenttrends #AIscalability #cloudcomputing #cloudinfrastructure #cybersecurity #digitaltransformation #machinelearningoperations #managedITservices #MLOps #Performive #Performiveinvestment #privateequity #RenovusCapital #RenovusCapitalPartners

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kennislearningroutes · 11 days ago

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How AI is Shaping New Degree Standards

Hello, fellow readers!

Have you heard about the Industrial Revolution 4.0? And no, we are not talking about the first industrial revolution in the 18th century. This 4.0 version of the revolution has turned the world upside down. A recent survey revealed that 78% of CEOs globally believe that AI and automation skills are important for workforce development. You will witness a 40% surge in AI and automation-related job roles in the coming days.

AI has emerged as an important tool to revolutionise the education sector's future. While you read this blog, AI interprets complex data and simultaneously automates various tasks. It is important to keep up with these changes, and one way to do so is by updating the programmes. Universities and institutes are constantly updating their curricula, teaching methods, pedagogy, etc.

But what are these changes? How have the degree requirements changed in this era? What does it mean by AI and automation? You shall get all of these answers in this blog. So, put on your seat belts and get ready to take on a journey of exploration and innovation.

Understanding AI and Automation

In a literal sense, artificial intelligence, or AI, would mean something not natural but having the ability to understand, learn, and think. Along similar lines, it showcases the ability to match human cognitive functions such as problem-solving or quick decision-making. AI is a combination of machine learning and deep learning techniques.

Automation is the usage of technology or machines without human intervention. The idea is to streamline mundane processes and enhance efficiency. Automation has also originated from programming and algorithms.

Also read: Navigating AI in Education: the Good and the Not-So-Good

Traditional Degree Requirements vs. New Reality

Earlier, when you chose a degree, it was important to have a four-year degree from a recognised college. This is the basic requirement that was expected of you. There was a major emphasis on theoretical knowledge as it would increase your employability. An employer would judge you based on your academic achievements and limited knowledge.

But now, the world has shifted towards skills. Top organisations and industrialists are discussing one thing: ‘Skills, Skills, and Skills’. You have ample opportunities if you have the right skill set and the capability to demonstrate. Technological proficiency has become a priority and a basic need of the hour. Colleges and schools have integrated AI into their curriculums across sectors to meet these needs.

What is Required Now?

Personalised Learning: Education cannot be the same for all; hence, using a one-size-fits-all approach is outdated. Now with AI, you can experience customised learning, meaning education is altered as per your strengths and weaknesses. You can approach it as per your learning style. Adaptive learning can be a game changer.

Interactive Chatbots: AI chatbots can offer you immediate support and offer explanations. Additionally, they can also provide other resources. Imagine whenever you are stuck in between a problem, you would have assistance that is too personalised just as per your needs.

Creating Engaging Content: Learning is different for everyone and cannot be limited to books and lectures. AI is empowered to integrate interactive simulations and gamified learning experiences. Imagine how engaging and interesting learning would become when you could learn according to your learning style.

Automation of Tasks: Imagine you getting real-time feedback; wouldn’t it speed up your learning process? Through automation, institutions can release the faculty from administrative tasks and help them focus more on quality education.

Also read: How AI is Revolutionising Education Industry

Origination of New Types of Degrees

You must have noticed a shift from rigid academic structures to flexibility and skill prioritisation. With global digital transformation, new innovative qualifications have emerged in the economy. Some of these are

Micro-credentials: Short and compact courses focused on developing a particular skill.

Online Certifications: Today you can find an online course for anything. The best part is you can gain knowledge and new skills flexibly at your convenience.

Industry-Specific Certifications: Want to gain an in-depth understanding of a certain industry and build your niche? Then choose this certification.

Continuous Learning and Upskilling: You are witnessing rapid technological advancements in AI and automation, which have made continuous upskilling our first nature. As it is said, 'learning must never stop.’

The Future of Degrees

‘AI is a tool. The choice about how it gets deployed is ours.’

This tool is here to complement and streamline your life, not overpower it. So as AI evolves, degree requirements shall also change. As you must have seen, colleges are already shifting towards offering hybrid programmes. These programmes would include a mix of formal and practical knowledge. Like AI front-desk staff, you may also witness AI tutors. However, this shall uphold the importance of necessary soft skills such as communication, creativity, out-of-the-box thinking, etc.

Also read: The Role of AI in Transforming Business and Education

Conclusion

The world is constantly evolving, and nothing can stop it. As you know, the Industrial Revolution 4.0 is powered by AI and automation. This is set to change the education sector, including degree requirements, completely. Although a few doors are closing, a study has revealed that there may be 97 million new jobs as well. As you prepare to embrace AI, you must remember that balance is the key—a balance between human and technological advancements. The same goes for degree requirements because you would miss out on holistic development by completely relying on AI for quality education.

#AI #artificial intelligence #Online degree #Online education #online colleges #learning routes

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