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jcmarchi · 6 months

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

New Post has been published on https://thedigitalinsider.com/stanhope-raises-2-3m-for-ai-that-teaches-machines-to-make-human-like-decisions-ai-news/

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 · 8 months

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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 · 10 months

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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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accountsend · 1 year

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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

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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 · 1 year

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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

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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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convistaasia · 2 years

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The Treasurer's Role in Digital Transformations - ConVista

There are many reasons why Digital Transformations are important. For starters, they can help an organization cut costs and improve efficiency. They can also help an organization better connect with customers and partners. And, they can help an organization stay ahead of the curve in the ever-changing digital world.

To be successful in a digital world, a treasurer must have a clear understanding of the various aspects of digital transformation. The treasurer is responsible for ensuring the financial health of an organization and is often a key player in digital transformations. In today’s world, an organization’s ability to digitally transform can be key to its success.

Many SAP experts or IT consultants have a good technical understanding of how to implement a TMS or ERP system. In discussions with customers or users, however, a consultant is often faced with the challenge of understanding how customers actually want to use their system for treasury solutions.

A good consultant not only needs to constantly develop their technical expertise but also must be just as close to the customer. You need to get a good understanding of how treasury and finance departments work and where the operational goals and current technical challenges lie.

That is why this article focuses on the treasurer and their ability to play a key role in the digital transformation of a company. SAP's wide range of possibilities creates the prerequisites for this in many places. In the past, the corporate treasury was often seen as an area of accounting; today it is clear that the treasury is an independent unit. ConVista mostly develops solutions in the SAP environment, whereby treasury applications in particular often represent the leap to the new SAP S/4HANA. Alternatives such as Central Finance, the use of a Treasury Work Station, or an SAP s/4hana finance Sidecar approach, extend the range of possibilities offered by Best SAP Consulting in Asia.

Transformation of Treasury

It is certainly difficult to predict which new technologies will come onto the market in the next ten years. The respective operating business, investment behavior, and regulatory environment will certainly have a significant influence on this. What is certain is that the pace of change is increasing exponentially and that some emerging trends will shape the course of the next few years. Of all the new technological advances currently taking place, Artificial Intelligence (AI) and SAP Digital Transformations are the two most "disruptive" and exciting ones.

According to most experts, AI will develop at its own pace, but at the same time, it will promote the development of many other complementary, vertical technologies. These will be depending on the speed, accuracy, and capability of artificial intelligence also learn to improve. Richard Tang, founder, and CEO of ISP Zen Internet believes that we are moving beyond "artificial" intelligence to something that resembles "real" intelligence, which will then represent the next level of artificial intelligence.

So can the Treasurer take a leading role in the digital transformation?

Clear answer: Yes! In the context of today, The SAP Expert in digital transformation and technology, the finance department, the CFO, and especially the Treasurer must have a strategic vision and drive this transformation.

Once you have an idea of how treasury should function, you will find that people and processes are still two of the most important factors in the system. However, sometimes even technology implementation specialists make it too easy for themselves by simply following the premise: "We are here to set up a system." Usually, the primary concern is to understand what a system can do to make it work properly. This means knowing how the processes are designed enabling users to make the best use of the system. The treasurer is in a position to take a pioneering role in digital transformation: They have a decisive influence on automation, the processing of real-time data, the performance of related analyses, and AI-supported decision-making, which they integrate into their daily work.

Many companies that want to set up a new system are just trying to adapt the system to their current processes. However, this is not usually the best way to go. Instead, the whole picture should be considered: "Why are we doing this?" Because today, if something is done inefficiently or even wrongly and then integrated into a system to continue doing it "sub-optimally", only a bad process will be automated at best.

A better recipe is to go down the path of Smart Treasury. This could be described as a concept that David Cano, director of AFI, describes in his article in ASSET "How I can turn my company into a superstar". At ConVista we follow the following basic principles to achieve Smart Treasury:

Process automation to avoid manual processes and media disruptions

Comprehensive transparency and integrity of information, accessible anytime and anywhere

Connectivity and collaboration. Automate operational treasury processes and foster collaboration across departments

Improve reporting and user support with analytics solutions such as SAP Analytics Cloud

In order to show you the potential of how a Smart Treasury can be achieved, we offer you our ConVista Treasury Assessment. Within the scope of this assessment, we analyze the current processes of the treasury department ("As Is"). We do this in order to help our customers to develop a model that is adapted to the current trends, where new technologies can support them. During these workshops, treasury functions are examined both at the level of processes and from a technological perspective.

Feel free to contact us for a workshop appointment and join us in analyzing the potentials and "hidden treasures" of your treasury organization on the way to a "Smart Treasury" ConVista - SAP Consultant in Bangalore

For more information Contact us: +91 80 468184 00 Or, visit: www.convista.in

#SAP Digital Transformations #Digital Transformations #Artificial Intelligence #The SAP Expert #SAP Consultant Asia #The SAP Expert in Asia #The SAP consultant in Asia #Best SAP Consulting in Asia #SAP Consultant in Bangalore #SAP ERP Consultant #SAP Analytics Cloud #SAP S4 for Insurance #SAP s/4hana finance #SAP Consultant in India #SAP data Analytics #SAP Analytics #SAP Multi Bank Connectivity #Become a Smart Enterprise with SAP Analytics Cloud (SAC)

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jackmasonincandco · 1 day

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Jack Mason Inc & Co's Strategies for Evolving Landscapes

In a world where markets change faster than ever, staying ahead is crucial for any business. Jack Mason, the Group CEO of Inc & Co, demonstrates an impressive ability to not only keep pace with these rapid shifts but to thrive in them. His success lies in a strategy that combines rapid adaptation with strategic acquisitions of companies that fit his vision.

Jack Mason’s approach to market disruption is all about flexibility and leadership. By effectively steering Inc & Co, a company that has seen a remarkable rise since its founding in 2019, he exemplifies how embracing change leads to growth. By focusing on innovation while ensuring his team collaborates, he crafts a path that aligns with both market demands and consumer needs. This strategic mindset has been integral to Inc & Co’s success.

His journey provides valuable insights for anyone looking to understand how to navigate uncertain terrains. Jack Mason’s story is one of balancing tradition with innovation, showing how embracing change can drive success and market dominance. His example offers a compelling case for why being adaptable is essential in today’s business world.

Navigating Market Disruptions with Jack Mason Jack Mason’s business approach involves using modern technology, understanding consumer needs, and focusing on ethical practices. His strategies help businesses thrive even during difficult market shifts.

The Role of Innovation and AI in Sustaining Business

Innovation plays a critical role in Jack Mason’s strategy. By adopting AI technologies, he helps companies predict trends and automate processes, making them more resilient in uncertain times. AI aids in identifying opportunities and threats, thus supporting informed decision-making. This forward-thinking approach keeps businesses prepared for disruptions, reduces costs through automation, and allows for efficient resource management. Embracing AI helps maintain competitive advantages, ensuring that companies can adapt swiftly to changes in the market landscape.

Leadership and Strategic Planning for Business Growth

Jack Mason Inc & Co exhibits strong leadership through strategic planning. He focuses on setting clear goals, understanding market dynamics, and leveraging team strengths. Effective leadership involves anticipating potential challenges and crafting strategies that ensure sustained growth. For Mason, it’s about guiding businesses with a flexible yet focused approach, addressing immediate needs while planning for long-term success. He believes in fostering a culture of innovation and adaptability, crucial for navigating ever-changing business environments. By emphasising collaboration and communication, Mason’s leadership style enables businesses to stay competitive and resilient.

Understanding Consumer Behaviour and Personalisation

A key part of Mason’s strategy is understanding consumer behaviour. He uses data analytics to gain insights into customer preferences and buying habits. This knowledge allows businesses to personalise their offerings, enhancing customer satisfaction and loyalty. By tailoring products and services to meet individual needs, Mason ensures that companies can build strong relationships with their consumers. Understanding consumer behaviour also aids in predicting market shifts, allowing businesses to adjust strategies proactively. Personalisation becomes a tool for differentiating in crowded markets.

Expanding Online Shopping through Digital Transformation

Digital transformation is central to Mason’s vision for expanding online shopping. By integrating advanced technologies, businesses can streamline operations and reach broader audiences. Mason advocates for the use of digital platforms to enhance customer experience, improve sales processes, and boost brand visibility. This transformation includes optimising websites, enhancing user interfaces, and using data-driven marketing strategies. Businesses can leverage these tools to efficiently engage consumers, fostering growth in the digital domain. Mason’s approach ensures that companies remain agile and competitive in an increasingly digital marketplace.

Ethical Practices and Building Consumer Trust

Ethical practices form the backbone of Jack Mason’s business philosophy. He believes that trust is a key differentiator in turbulent times. By committing to transparency and accountability, businesses can build trust with their consumers. Mason emphasises ethical sourcing, fair labour practices, and environmentally friendly policies as essential components. These practices not only enhance a brand’s reputation but also attract conscious consumers seeking responsible companies. Maintaining ethical standards helps businesses withstand market disruptions, as trust fosters customer loyalty and protects brand integrity.

Strategies for Global Success and the UK Economy

Navigating global markets requires strategic thinking and a keen understanding of both local and international dynamics. Businesses like Jack Mason’s utilise e-commerce, embrace inclusivity, and tackle financial challenges to achieve success.

Leveraging E-Commerce for Business Growth

E-commerce has become crucial for companies aiming to expand globally. It allows businesses to reach customers across borders quickly and efficiently. Jack Mason’s companies, including Chop’d and Laundrapp, have capitalised on e-commerce platforms to boost their sales and streamline operations. By using digital marketplaces, they tap into new customer bases while meeting the demand for convenience. This growth strategy leverages online presence, offering tailored products to diverse markets and meeting unique customer needs.

Exploring the Effects of Acquisitions on Global Growth

Acquisitions are a significant factor in expanding globally. They can provide new opportunities, resources, and market access. Jack Mason has overseen numerous acquisitions such as Dreamr and Cuhu, which have strengthened Inc & Co’s international presence. By integrating these businesses, they can share expertise, improve service offerings, and enhance competitiveness. This approach also mitigates risks associated with entering new markets by building on the strengths of acquired companies.

Incorporating Inclusivity and Teamwork into Company Culture

A strong company culture focusing on inclusivity and teamwork is key for global success. Jack Mason prioritises these values, ensuring a collaborative environment. Companies like Skylab embed inclusivity, which fosters diverse perspectives, driving innovation and creativity. This culture enhances employee satisfaction and retention, nurturing a workforce that is committed and engaged. Teamwork further boosts productivity and facilitates smoother international operations. This approach creates a supportive framework for tackling complex challenges across diverse markets.

The Importance of Safeguarding Intellectual Property

Securing intellectual property is critical when expanding globally. It preserves a company’s innovations and competitive advantage. As businesses like Inc & Co extend their reach, protecting technology, trademarks, and patents is a priority. Effective measures prevent unauthorised use, ensuring that unique products and services remain exclusive. This focus not only fortifies market positions but also enhances trust among shareholders, partners, and customers, which is vital for sustainable growth.

Addressing Debts and Creditors in Business Expansion

Expanding globally often involves managing debts and obligations to creditors. Businesses must carefully assess financial commitments to avoid over-leverage and maintain financial health. Jack Mason’s strategy includes prudent financial planning, which involves negotiating favourable terms and timing payments effectively. Addressing these challenges ensures stability and supports healthy growth, enabling companies to seize new opportunities while managing risks associated with global ventures. This focus on financial discipline is essential for long-term success in dynamic markets.

#Jack Mason Inc & Co

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credencehrservices-01 · 3 days

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AI in Recruitment: The future is now with Credence HR services

The Future of Recruitment: Leveraging AI in Talent Acquisition

Let’s be honest—recruitment can be a bit of a rollercoaster. One moment you’re sifting through piles of resumes, the next you’re in back-to-back interviews, and still, you’re left wondering if you’ve found the right fit. Enter Artificial Intelligence (AI). Now, I know what you’re thinking—“AI in recruitment? That sounds a little too ‘sci-fi’ for me.” But trust me, it’s not. In fact, AI is becoming the not-so-secret weapon that recruitment firms like Credence HR Services are using to make the hiring process smoother, faster, and dare I say, more human.

Yes, AI might handle the tedious parts, like scanning resumes and ranking candidates, but it doesn’t replace the recruiter’s personal touch. Credence HR Services, one of the top HR consulting firms, has struck the perfect balance between cutting-edge technology and the irreplaceable value of human insight. After all, finding the right candidate isn’t just about what’s on paper—it’s about understanding who they are as a person and how they’ll fit into your company’s culture.

In this blog, we’ll dive into the ways AI is transforming recruitment, explore how HR service providers like Credence HR Services are leveraging AI to take talent acquisition to the next level, and share why, despite the rise of tech, the heart of hiring is still very much human. Let’s get started!

The Role of AI in Talent Acquisition

The recruitment process, as many HR service providers can attest, can be exhaustive. Between sifting through countless resumes and conducting rounds of interviews, hiring the right candidate often feels like finding a needle in a haystack. This is where AI comes into play. Through advanced algorithms, AI can automate initial screening by analyzing resumes and identifying suitable candidates faster than any human recruiter.

Platforms like job boards in India are already utilizing AI to help candidates find roles that match their skills and experience. But it's not just about speed—AI also enhances accuracy. By comparing qualifications, job histories, and even soft skills, AI helps recruiters make better decisions. A well-integrated AI solution, such as the one Credence HR Services employs, ensures that no potential star slips through the cracks.

AI Doesn’t Replace Humans, It Enhances Them

Contrary to popular belief, AI is not here to replace human recruiters. It’s here to assist them, especially in tasks that involve repetitive sorting and filtering. Think of AI as your personal assistant, leaving you more time to focus on what really matters: building relationships with potential hires. At Credence HR Services, we believe the future of recruitment is a synergy between AI and human intuition.

Let’s hear it from industry thought-leader Leena Nair, CEO of Chanel, who said, AI will augment human capability. It can offer solutions at scale but is not a substitute for human judgment. It’s this very approach that HR consulting firms need to adopt—utilizing AI to do the heavy lifting, but still relying on the insights only a seasoned recruiter can provide.

Credence HR Services: A Pioneer in AI-Driven Recruitment

At Credence HR Services, we've integrated AI into our talent acquisition process to help our clients find the best candidates faster. As a leading recruitment firm, we're leveraging AI to improve both speed and accuracy, and it’s all backed by our team of skilled recruiters. Our use of AI helps ensure a seamless hiring process while maintaining the human element in candidate selection. Our clients can trust us to deliver not only the perfect hire but also a great candidate experience.

For example, when we work with clients in Pune looking for HR services, we leverage AI to match candidates to job roles with unprecedented accuracy. Whether you're looking for HR consulting services or need HR support services in a specific region, Credence HR's AI-driven approach ensures you get the best talent pool from job boards in India and beyond.

How AI is Transforming Recruitment Stages

1. Sourcing Talent

AI-powered tools like chatbots and automated outreach systems are making it easier to source talent globally. Rather than relying solely on local networks, AI expands your reach, helping firms find hidden gems on job boards or even via LinkedIn.

At Credence HR Services, we utilize AI in sourcing strategies to identify passive candidates—those who might not be actively seeking a new role but are a perfect fit for our clients' needs. This gives us access to a broader pool of talent while others may still be stuck filtering through the usual platforms.

2. Screening and Shortlisting

Screening hundreds of resumes for a single position is time-consuming. AI automates the screening process, matching candidates with the desired qualifications and eliminating unqualified applicants early on. This technology ensures that by the time a human recruiter gets involved, they’re only looking at the cream of the crop.

At Credence HR, our AI-driven screening tools comb through resumes, analyzing not only the experience and education but also soft skills and cultural fit. This results in more accurate shortlists, which means better hiring outcomes for our clients.

3. Assessing Skills

AI-driven assessments are now helping HR teams gauge a candidate’s skills in real-time. From coding tests to soft-skill evaluations, AI can provide unbiased, data-driven insights about a candidate’s suitability for a role.

HR consulting firms like Credence HR Services are leading the charge in using AI for these assessments. We offer clients AI-powered tools that simulate real-life job scenarios, providing deeper insights into how a candidate will perform on the job.

4. Enhancing Candidate Experience

Believe it or not, AI can also help improve candidate experience. Automated emails, timely updates on application status, and AI-driven interview scheduling ensure that candidates are always in the loop. At Credence HR, we take pride in the fact that our HR management services offer a seamless candidate experience by combining AI efficiency with human interaction.

Credence HR Services Fits Into the AI Future

As AI continues to reshape the recruitment landscape, partnering with forward-thinking HR consulting firms like Credence HR Services becomes vital. Whether you’re a small business looking for local HR services near me or a large corporation in need of HR consulting solutions, we’ve got you covered. Our AI-enhanced recruiting services take the guesswork out of hiring, ensuring you find the right candidate every time.

So, as you look toward the future of hiring, remember that AI is no longer a far-off concept—it’s here. And with Credence HR Services at the helm, your recruitment process is in expert hands. Want to experience AI-driven recruitment firsthand? Tag us in your journey, or better yet, let’s connect over coffee and talk about how we can bring AI-powered solutions to your company.

Conclusion:

AI in recruitment isn’t just a trend; it’s the future. And at Credence HR Services, we’re proud to be among the HR service providers leading this change. From enhancing candidate experience to streamlining sourcing, screening, and assessing, AI offers immense possibilities. But while technology evolves, the human element remains irreplaceable. At Credence, we use AI to enhance—not replace—our human expertise, giving you the best of both worlds.

If you’re ready to revolutionize your hiring process with AI, get in touch with Credence HR Services today!

#Credence HR Services #best HR service provider #HR consulting Firm #HR management services #HR support services #job board in India

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otiskeene · 5 days

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The Future Of Hiring With AI Recruitment

Logan Roy, CEO of Waystar Royco, found himself deep in thought, contemplating the future of his company. As the founder of a media empire, he knew the time had come to focus on succession planning. His four children, all possible contenders, had varying strengths, but none seemed like the obvious choice. Kendall, although ambitious, could be unreliable. Roman lacked discipline, Siobhan was intelligent but prone to self-sabotage, and Connor had no interest in taking over the business.

Logan decided to take a proactive approach. He planned to put his children through leadership challenges to assess their capabilities and, in a modern twist, turned to AI to guide him. AI could analyze their skills, strengths, and weaknesses, using predictive analytics to determine which of his children had the most potential as a leader. By leveraging data-driven insights, Logan aimed to make the best decision for the future of Waystar Royco.

This is just one example of how AI can assist in recruitment decisions. As Logan navigates his journey toward finding a successor, let’s explore how AI can revolutionize recruitment in your organization.

What Is AI in Recruitment?

AI in recruitment refers to the use of artificial intelligence to streamline and automate various parts of the hiring process. AI can sift through resumes and identify top talent much faster than human recruiters. According to a report by SHRM, 79% of companies already use AI in some part of their hiring process. With the global AI market projected to exceed $1.8 billion by 2030, it’s clear that AI-driven recruitment is here to stay.

How AI Transforms Recruitment

Logan Roy decided to implement AI at every step of his recruitment process, from sourcing candidates to screening and onboarding. Here’s how AI can be used to reshape recruitment:

Candidate Sourcing: AI can scan resumes, databases, and social media profiles to find strong candidates. It processes large amounts of data efficiently, identifying prospects that human recruiters might miss.

Screening: Once the candidates are sourced, AI evaluates them based on career history, skills, and personality traits. This gives a shortlist of top candidates, speeding up the hiring process.

Talent Assessment: Candidates undergo AI-enabled assessments, such as interactive games and simulations. AI evaluates leadership skills, strategic thinking, and communication to identify who fits best for the role.

Candidate Interviews: AI conducts video interviews, analyzing tone, word choice, and emotional intelligence to measure candidates’ cultural fit.

Onboarding: Once a candidate is selected, AI tailors the onboarding experience by providing personalized training and goal tracking, ensuring the new hire quickly adapts to their role.

Benefits of AI in Recruitment

By using AI, Logan can speed up the hiring process, eliminate bias, and discover top talent. AI saves money by automating tasks like screening and interviewing, allowing recruiters to focus on more strategic work. It also provides a better candidate experience with faster responses and interactive assessments.

Conclusion

AI empowers leaders like Logan Roy to make data-driven recruitment decisions that ensure their company’s future success. With AI streamlining the recruitment process, organizations can operate more efficiently and strategically. So, if Logan can use AI to find a CEO, imagine what it can do for your business!

#Talent Acquisition #AI Recruiting Tool #AI Recruitment Tools

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jcmarchi · 3 days

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Akhilesh Tripathi, CEO of Digitate – Interview Series

New Post has been published on https://thedigitalinsider.com/akhilesh-tripathi-ceo-of-digitate-interview-series/

Akhilesh Tripathi, CEO of Digitate – Interview Series

Digitate CEO Akhilesh Tripathi joined the company in 2015 to launch its flagship product, ignio™. Under his leadership, ignio became one of the fastest-growing enterprise applications, with a global customer base spanning many industries and Fortune 500 companies. Previously, Akhilesh served as the head of Canada for TCS (Tata Consultancy Service), where he grew the entity from a small, relatively unknown firm to a perennial top 10 service provider. His 25-year career with TCS has also included serving as Head of Enterprise Solutions and Technology Practices for TCS in North America.

Digitate uses machine learning and artificial intelligence (AI) to manage IT and business operations. Its product, ignio™, is a cognitive automation solution designed to help IT teams identify and address outages quickly. Ignio includes pre-built knowledge aimed at enabling faster adoption of AI compared to other solutions. It connects various business applications, processes, and infrastructure to support decision-making and perform actions autonomously.

What was your vision for Digitate when you first joined in 2015, and how has that vision evolved over time?

When I first joined Digitate in 2015, my vision was to push forward a new way of thinking that shifts enterprises from a people-first model to a technology-first approach. By leveraging AI and automation, we would allow machines to become the initial handlers of tasks while humans became the handles of exceptions. Over time, this vision has evolved to encompass a broader goal: helping enterprises achieve what we call the “autonomous enterprise” journey. This involves leveraging unified observability, AI-driven insights, and closed-loop automation to ensure that our customers can manage their increasingly complex IT environments with minimal human intervention. Today, Digitate is all about empowering enterprises to not just react to problems but to proactively prevent them, ensuring operational resilience and continuous value creation.

How do you foresee the future of AI-driven enterprise solutions, particularly in the context of automation and autonomous operations?

The future of AI-driven enterprise solutions is incredibly promising. We’re on the brink of a transformative shift where AI doesn’t just assist with tasks but fundamentally changes how enterprises operate at a core level. We’re already seeing AI-driven solutions becoming even more integrated into every facet of business operations. The goal is for enterprises to use AI and automation not just for automating routine tasks, but for making real-time decisions, optimizing operations across diverse environments, and predicting and preventing issues before they arise.

This shift towards autonomy is particularly exciting. As AI continues to evolve, we’ll see more systems that can self-manage, self-heal, and even self-optimize without the need for constant human intervention. This is already at play in our closed-loop model, allowing teams to focus on more strategic tasks rather than being bogged down.

What are the key challenges you’ve faced in scaling Digitate globally, and how did you overcome them?

Digitate is pioneering a new category, and as we scale globally, it’s important to build interest in our vision of the autonomous enterprise and communicate the value we offer. Many people still think that data silos and automation are the status quo, but we believe they don’t have to be. To tackle this, I’ve instructed my team to focus on what I call the 3Es: excite, educate, and execute.

Education is crucial because we need businesses to be open to taking risks, and this often requires a leadership mindset that embraces new technology and innovative perspectives. After we have educated and inspired our audience, we must follow through during the implementation phase. It is essential that we keep our promises – our goal is to deliver on what we commit to.

What inspired the development of Digitate’s flagship product, ignio™, and what sets it apart in the market?

ignio™ was developed with a vision to revolutionize how businesses approach IT operations by embedding intelligence and automation at its core. The inspiration came from our deep understanding of the pain points that IT teams face daily: lengthy resolution times, fragmented visibility across systems, and the sheer volume of alerts that overwhelm human operators. We wanted to create a solution that could not only detect and resolve issues faster but also predict and prevent them from occurring in the first place. This led to the concept of an autonomous enterprise, where ignio™ acts as the digital brain, continuously learning from the environment, correlating data, and taking automated actions to ensure smooth, uninterrupted operations.

What sets ignio™ apart in the market is its ability to combine unified observability, AI-driven insights, and closed-loop automation into a single platform. Unlike other solutions that focus on individual aspects of IT management, ignio™ offers an integrated approach that addresses the entire lifecycle of IT operations.

Can you share how Digitate is leveraging AI to enhance predictive analytics and proactive problem management in IT operations?

As the buzz around GenAI continues to captivate the tech industry, it’s easy for enterprises to get swept up in the excitement and rush into implementation. However, in this enthusiasm, there is a real risk of overlooking foundational principles and best practices, which can lead to significant challenges down the road.

To navigate this, we emphasize the importance of data readiness and governance. We know that AI, no matter how sophisticated, is only as good as the data it operates on. Our ignio™ platform, for example, leverages AI to enhance predictive analytics and proactive problem management in IT operations. However, these capabilities are only fully realized when they are supported by high-quality data and robust methodologies. This strategic focus allows us to harness the power of AI effectively, driving true digital transformation while minimizing risks associated with the hype cycle.

How does Digitate ensure that ignio™ stays ahead of the curve in a rapidly evolving tech landscape?

At Digitate, we ensure that ignio™ remains at the forefront of the rapidly evolving tech landscape by continuously innovating and refining our platform to meet the dynamic needs of modern enterprises. We do this by leveraging a combination of advanced AI, machine learning, and a closed-loop automation approach to keep our systems ahead of the curve.

Our ignio™ AIOps platform is designed to tackle a wide range of problems enterprises face in IT and business operations across industries. “We use AI and automation to predict and solve issues before they impact key business KPIs, such as revenue assurance and customer satisfaction. Our proactive approach transforms IT from reactive to predictive, creating an environment where AI and ML systems solve errors automatically in real time, eliminating the need for tickets. With GenAI, we accelerate innovation and reduce manual effort in finding and solving issues, leading to faster time to value.”

In your opinion, what role will AI and automation play in shaping the future of digital operations across industries?

As we look towards the future of AI, we’re entering an era where human-AI collaboration is set to become more seamless and intuitive. The advancements in AI capabilities are leading us towards a new paradigm of augmented intelligence, where AI doesn’t just automate tasks but works alongside humans, enhancing our abilities through continuous learning and real-time insights. We’re particularly focused on how AI can mimic and adapt to human behaviors, making interactions more natural and conversational. This shift is crucial as it allows AI to fit more organically into daily workflows, whether it is through decision-making processes, predictive analytics, or even customer interactions.

However, with these advancements come significant challenges. For one, the opacity of AI systems, often referred to as “black boxes,” makes debugging and maintenance more complex than traditional software. This requires us to develop new skills and processes to ensure that AI systems are reliable and trustworthy. Change management is another critical area. As AI becomes more embedded in our operations, there is a natural resistance that can emerge, both from individuals accustomed to traditional workflows and from regulatory bodies concerned about the implications on employment and job roles. Addressing these concerns requires a thoughtful approach that balances innovation with empathy and strategic foresight. Cybersecurity and privacy risks are also escalating as AI systems become more pervasive. The more we rely on AI, the more attractive these systems become to malicious actors, including potential state-sponsored threats.

Despite these challenges, the potential for growth and innovation in AI-driven collaboration is immense. The market is ripe with opportunities, and businesses that invest in integrating AI with a focus on transparency, augmented intelligence, and seamless human interaction will be well-positioned to lead in this evolving landscape. At Digitate, we’re excited about the role our technology will play in shaping this future, driving both operational efficiency and transformative business outcomes.

How is Digitate addressing the growing demand for AI-driven solutions in sectors like retail, manufacturing, and financial services?

Digitate is addressing the growing demand for AI-driven solutions by developing industry-specific offerings that meet the unique needs of sectors like retail, manufacturing, and financial services. In retail, for example, ignio™ helps optimize supply chain operations and enhance customer experiences by predicting and preventing disruptions. In manufacturing, we enable smarter production processes through predictive maintenance and automated quality control. In financial services, our AI-driven insights support fraud detection, compliance, and risk management. By tailoring our solutions to the specific challenges of each industry, we help our customers drive innovation and maintain a competitive edge.

What are the most significant industry trends you’re seeing right now, and how is Digitate adapting to them?

One of the most significant trends we’re observing in the AI industry is the rapid advancement of Large Language Models (LLMs), particularly their evolving specialization and multimodal capabilities. These models are not just becoming more powerful in a general sense. They’re also increasingly tailored to specific industries and tasks, which opens up new possibilities for AI-driven solutions across various domains.

We’re closely following these developments, particularly the trend towards domain and industry specialization in LLMs. As companies look to maintain their competitive edge, they’re investing in LLMs that can understand and operate within the specific contexts of their industries. This means that LLMs are being customized to handle industry-specific jargon, concepts, and challenges with a level of precision that was previously unattainable. We see this as a crucial area for us to integrate into our own offerings, especially as we aim to provide more targeted, actionable insights for our clients across different sectors.

Commonsense reasoning and factual grounding are also critical areas where LLMs are making strides. As these models become better at understanding real-world contexts and maintaining factual accuracy, the reliability and usefulness of AI in enterprise settings will grow exponentially.

With over 20 years in the IT industry, what key leadership lessons have you learned, particularly in leading innovative tech companies?

In my 20 years in the IT industry, I’ve learned that having a clear purpose and a sense of curiosity is crucial for leading innovative tech companies. A strong purpose drives passion, creating an ongoing cycle of innovation. When innovation is fueled by a compelling purpose, it has greater staying power, enabling companies to overcome challenges and stay competitive in the long run. It’s important to note that each person’s purpose may differ, and as a leader, it’s vital to align an individual’s purpose with the overall organizational goals to maximize their potential.

Curiosity is equally important. The drive to learn, explore new ideas, and create something new is what pushes a company forward. The real magic happens when purpose and curiosity come together. This is where innovation and creativity thrive, allowing us to make breakthroughs and lead in the industry.

Thank you for the great interview, readers who wish to learn more should visit Digitate.

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cxolanes · 7 days

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#AeroAegisInc.#Dr.MadhuKumarReddy #MaturitySpectrum360 #SmartChaosLab

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aishwaryaanair · 8 days

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Top 10 Business Certifications

Top 10 Business Certifications for 2024: Elevate Your Career with Industry-Leading Credentials

In today’s competitive business environment, professionals need to stay ahead by acquiring relevant certifications. Business certifications not only validate your expertise but also increase your marketability, paving the way for career advancement. This article presents the top 10 business certifications for 2024, detailing their benefits, the industries they serve, and the essential skills you can acquire.

1. Project Management Professional (PMP) — Project Management Institute (PMI)

Introduction:

The PMP certification by PMI is one of the most recognized project management certifications globally. It focuses on project leadership, management strategies, and best practices to complete projects on time and within scope.

Who Will Benefit:

Project managers, team leaders, and business professionals looking to improve their project management skills.

Skills to Learn:

Project planning and execution

Risk management and budgeting

Leadership and team collaboration

Duration:

Candidates typically need 3–5 years of project management experience before pursuing the PMP certification.

More info on PMP

2. Certified Business Analysis Professional (CBAP) — International Institute of Business Analysis (IIBA)

Introduction:

CBAP is an advanced certification that validates the ability to perform business analysis, leading to better decision-making within organizations. It’s ideal for business analysts seeking to elevate their skills in problem-solving, analysis, and business strategy.

Who Will Benefit:

Business analysts, project managers, and business consultants focused on improving business outcomes through data-driven insights.

Skills to Learn:

Business analysis techniques

Process modeling and strategy planning

Identifying business needs and solutions

Duration:

The certification requires candidates to have at least 7,500 hours (about 10 and a half months) of business analysis work experience.

More info on CBAP

3. AI+ Executive™ — AI CERTs

Introduction:

AI+ Executive™ by AI CERTs is a leading certification for business executives seeking to implement AI-driven strategies within their organizations. It covers leadership in AI-driven companies, AI governance, and the ethical implications of AI adoption.

Who Will Benefit:

CEOs, CTOs, business executives, and leaders looking to integrate AI into their company’s strategy to drive innovation and improve decision-making.

Skills to Learn:

AI strategy development and implementation

Ethical AI governance and leadership

AI-driven business model transformation

Duration:

AI+ Executive™ is an 8-week certification with a mix of case studies, practical labs, and real-world business scenarios.

More info on AI+ Executive™

4. Certified Information Systems Security Professional (CISSP) — (ISC)²

Introduction:

CISSP is a globally recognized certification for IT and cybersecurity professionals, focusing on safeguarding business assets through effective security management strategies.

Who Will Benefit:

IT managers, cybersecurity professionals, and business leaders are involved in securing business processes and ensuring regulatory compliance.

Skills to Learn:

Security architecture and engineering

Risk management and compliance

Cybersecurity strategy and planning

Duration:

Candidates should have at least 5 years of full-time work experience in IT security.

More info on CISSP

5. Microsoft Certified: Dynamics 365 Fundamentals

Introduction:

Microsoft Dynamics 365 Fundamentals certification focuses on understanding business applications that drive digital transformation within organizations. It is essential for those looking to work with enterprise resource planning (ERP) and customer relationship management (CRM) systems.

Who Will Benefit:

Business professionals, CRM consultants, and IT managers looking to streamline business operations with Microsoft’s suite of cloud-based applications.

Skills to Learn:

Dynamics 365 capabilities for sales, marketing, and operations

ERP and CRM best practices

Business process automation using Dynamics 365

Duration:

This certification can typically be completed in 1–2 months of study, depending on your familiarity with Microsoft products.

More info on Microsoft Dynamics 365

6. Google Professional Cloud Architect

Introduction:

Google’s Professional Cloud Architect certification enables professionals to design, build, and manage secure, scalable, and reliable solutions on Google Cloud Platform (GCP).

Who Will Benefit:

Business leaders, cloud architects, and IT professionals who want to lead cloud initiatives for businesses in industries like finance, healthcare, and eCommerce.

Skills to Learn:

Architecting cloud infrastructure on GCP

Security and compliance in cloud solutions

Managing business operations on Google Cloud

Duration:

Candidates typically need 3+ years of industry experience before pursuing this certification.

More info on Google Cloud Architect

7. AWS Certified Solutions Architect — Professional

Introduction:

AWS Solutions Architect — Professional is an advanced-level certification that validates a professional’s expertise in designing complex, large-scale distributed systems on Amazon Web Services (AWS).

Who Will Benefit:

Cloud architects, IT managers, and executives looking to lead cloud transformations within their businesses.

Skills to Learn:

Building scalable and secure cloud systems on AWS

Cloud strategy development and cost optimization

Ensuring high availability and disaster recovery

Duration:

AWS recommends at least two years of hands-on experience with AWS architecture before pursuing this certification.