#distributed artificial intelligence intelligent agents

[river-taxbird]

There is no such thing as AI.

How to help the non technical and less online people in your life navigate the latest techbro grift.

I've seen other people say stuff to this effect but it's worth reiterating. Today in class, my professor was talking about a news article where a celebrity's likeness was used in an ai image without their permission. Then she mentioned a guest lecture about how AI is going to help finance professionals. Then I pointed out, those two things aren't really related.

The term AI is being used to obfuscate details about multiple semi-related technologies.

Traditionally in sci-fi, AI means artificial general intelligence like Data from star trek, or the terminator. This, I shouldn't need to say, doesn't exist. Techbros use the term AI to trick investors into funding their projects. It's largely a grift.

What is the term AI being used to obfuscate?

If you want to help the less online and less tech literate people in your life navigate the hype around AI, the best way to do it is to encourage them to change their language around AI topics.

By calling these technologies what they really are, and encouraging the people around us to know the real names, we can help lift the veil, kill the hype, and keep people safe from scams. Here are some starting points, which I am just pulling from Wikipedia. I'd highly encourage you to do your own research.

Machine learning (ML): is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines "discover" their "own" algorithms, without needing to be explicitly told what to do by any human-developed algorithms. (This is the basis of most technologically people call AI)

Language model: (LM or LLM) is a probabilistic model of a natural language that can generate probabilities of a series of words, based on text corpora in one or multiple languages it was trained on. (This would be your ChatGPT.)

Generative adversarial network (GAN): is a class of machine learning framework and a prominent framework for approaching generative AI. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss. (This is the source of some AI images and deepfakes.)

Diffusion Models: Models that generate the probability distribution of a given dataset. In image generation, a neural network is trained to denoise images with added gaussian noise by learning to remove the noise. After the training is complete, it can then be used for image generation by starting with a random noise image and denoise that. (This is the more common technology behind AI images, including Dall-E and Stable Diffusion. I added this one to the post after as it was brought to my attention it is now more common than GANs.)

I know these terms are more technical, but they are also more accurate, and they can easily be explained in a way non-technical people can understand. The grifters are using language to give this technology its power, so we can use language to take it's power away and let people see it for what it really is.

[reality-detective]

DJT's EXECUTIVE ORDERS

13818

● Confiscated private and corporate assets

● Seized the NYSE

● Blocking the property of those involved in serious human rights abuses or corruption, human trafficking.

13848

● 13848 imposes certain sanctions in the event of foreign interference in any of the United States choices.

13959

● Maintain American leadership in artificial intelligence

Khazarian assets confiscated

● Among the top 3 executive orders - many DS assets were confiscated and DS Agents reversed

○ 13818, 13848 and 13959

● The Space Force has EVERYTHING under control!

● DS money will be used up quickly

● All DS gold has already been confiscated (Vatican etc.)

● Wall Street, Washington DC, Vatican and City of London - all dead

● OPERATION: DEFEND EUROPE. This started March 17th 2020 and takes over the Vatican, it's the mafia and it's seizing all the Rothschilds central banks

● Brexit has severed the Vatican's ropes and stripped the Royals of all assets

● We're going to Tesla and metals instead of oil and gas

GESARA – Global Economic Security and Reform Act

● It should be implemented on 10/11/2001. Stopped by the Khazarian false flag event on 9/11

● Elimination of the national debt of all nations of the world

● No taxes. Only a fixed sales tax of around 15% on new goods

● Waiving of mortgages and other bank departments due to illegal government activities

● Back to constitutional law - get rid of the corrupt law of the sea

● Newly elected leaders - only 10% of current governments

● World peace for 1,000 years

● Eliminate all current and future nuclear weapons on planet earth

● Gold Standard!

● Introduction of new hidden technologies - 6,000 Tesla patents. free energy

● Build and rebuild in all countries at 1950s prices

● The power back to We The People. Global distribution of wealth

● Odin project = World EBS (Emergency Broadcast System)

[machine-saint]

here's a fun game some articles play with numbers:

In November 2021, it was announced that Spotify co-founder and CEO Daniel Ek’s investment company Prima Materia had invested €100 million ($114 million USD) in Helsing, an artificial intelligence company based out of Europe that assists in military technological ventures. Helsing’s AI technology is reported to assist with battlefield operations, helping to identify and assess multiple collected forms of data via sensors in order to assemble a picturesque viewpoint which military agents could then use at their discretion.

Why would the CEO of a company whose purpose was to provide instant access to music use its profits to fund efforts of war? Although a report by Marie Charlotte Götting published on Statista stated that in 2021, 73.2 percent of Spotify’s revenue” ​“went mainly towards royalty payments towards music rightsholders and other fees”, the payout to individual artists who do not have big names are often miniscule. The scale of Ek’s investment in Helsing cuts deep to artists operating within Spotify’s payment distribution model.

the article is clearly trying to imply that if it wasn't for the $114M investment, spotify would have way more money to pay towards the small artists. but my thought was "hmm, spotify's a big tech company, right?" and i noticed that it doesn't compare the investment to revenue.

spotify's 2022 revenue was 11.7B euros. 100 million euros is 1% of that. which, it's not nothing, but it's still just... 1%. it doesn't "cut deep" in any meaningful sense.

anyway the lesson from this is whenever anyone is bringing up Big Number and implicitly comparing it to another number without bringing up the actual sizes (or ratios), double check how big the other number is

this is separate from object-level statements: spotify is fucking terrible at paying artists! if you want to support them you're far better off just buying an album! but it's not like this 1% of their revenue is the reason they're terrible.

[opanas-opanasovych-opanasenko]

Statement of the Intelligence Committee under the President of Ukraine

Source: https://t.me/SBUkr/11299 Dear Ukrainians and our international partners! Two years after Russia launched a full-scale war of aggression, Ukraine faced an objective threat to its existence as a state, as a nation, as a community of free and equal people. In conditions of deliberate distraction of the global public attention from the long and bloody Russian-Ukrainian war, the leadership of the aggressor country managed to implement a series of planned sabotage actions, special information operations and open provocations.

The main directions and goals of the enemy are the disruption of Ukrainian mobilization, the spread of disinformation about Ukraine's inability to win, the creation and distribution of fakes about "fatigue with Ukraine" among our partners and allies in the world. The global international goal of the Russians is to reduce the support of our country from the pro-Ukrainian coalition in the world.

The goal of the Russians inside Ukraine is to demoralize Ukrainians, to sow panic among the population, to drive a wedge between military personnel and civilians, to make everyone quarrel with everyone, including representatives of the country's political leadership and civil society.

Russian special services have extensive experience in conducting hybrid wars. They spend no less on information attacks against Ukraine than on a conventional war. As reported by the Intelligence Committee under the President of Ukraine, in November of last year, as part of the Maidan-3 special operation, Russia spent almost $250 million on spreading anti-Ukrainian sentiments on the Telegram platform alone. Instead, the total budget of the operation was an astronomical 1.5 billion dollars. This is the most expensive "action" of the Russian special services in history.

Special operation "Maidan - 3" will reach its climax in March-May 2024, during the coming weeks the enemy will make every effort to spread narratives destructive to world security and attempts to incite conflicts - both inside Ukraine and in other parts of the world where there is effective support of Ukraine.

The campaign methodology is traditional for Russian special services: to question the legitimacy of government decisions made in Ukraine after May 20, to spread panic and despair, to artificially oppose civilians and military, to induce quarreling between us and our allies, to spread all kinds of "conspiracy theories" in society. This is happening against the background of public statements of the Russian Federation about the creation of new types of super-weapons, which, according to the Russians, should ensure the technical superiority of the Russian Federation over the West for the next decade. It follows from this that opposition to the goals of the Russian Federation in Ukraine is dangerous for the world, and therefore the Russian Federation will push other countries to a direct dialogue regarding Ukraine without our participation.

Also, the Russians, through their own agents of influence in Ukraine and around the world, will bet on the organization of various protest actions, will deliberately discredit the process of exchanging prisoners of war.

According to the enemy's plan, the situation in our country will be shaken in the first half of June, and then, taking advantage of this, Ukraine will be inflicted with a military defeat in the East, and this is the key idea of their operation.

In view of the above circumstances, we appeal to Ukrainian society, our international partners and allies to strengthen joint resistance and comprehensive security measures, especially in the information space, in order to effectively counter global threats and challenges of a new global hybrid war. The war that the Russian Federation and its criminal allies are waging against the entire civilized world today. Our society needs unity. Glory to Ukraine!

[roneresane]

Exploring the World of Real Estate: Investment, Development, and Growth

Real estate refers to property consisting of land, buildings, and other natural resources such as water, minerals, and crops. Real estate can be bought, sold, leased, or rented for different purposes such as residential, commercial, industrial, or agricultural use. The real estate market is an important part of the global economy, and it offers opportunities for investment, development, and growth. 

Real estate investment can be an attractive option for those looking to diversify their portfolio and generate passive income. Real estate investments can provide stable returns, tax benefits, and potential appreciation over time. Real estate can be purchased through various means, including direct ownership, real estate investment trusts (REITs), and real estate mutual funds. 

The real estate market is highly cyclical and can be affected by various factors such as interest rates, economic conditions, and demographics. 

In addition to investment opportunities, real estate provides housing and other essential services to communities around the world. Real estate development can have a significant impact on the environment and society, and it is important to consider sustainable practices and social responsibility when developing real estate projects. 

Residential real estate refers to properties used for living purposes such as single-family homes, apartments, and condominiums. The demand for residential real estate is driven by factors such as population growth, household formation, and affordability. Residential real estate can provide homeownership opportunities and rental options for those who cannot or choose not to own a home. 

Commercial real estate refers to properties used for business purposes such as office buildings, retail stores, and industrial facilities. The demand for commercial real estate is driven by factors such as economic growth, business expansion, and consumer spending. Commercial real estate can provide rental income for investors and space for businesses to operate.

Industrial real estate refers to properties used for manufacturing, distribution, and storage purposes. The demand for industrial real estate is driven by factors such as global trade, logistics, and e-commerce. Industrial real estate can provide rental income for investors and space for businesses to operate. 

Agricultural real estate refers to properties used for farming, ranching, and forestry purposes. The demand for agricultural real estate is driven by factors such as food security, environmental conservation, and resource management. Agricultural real estate can provide income for farmers and support for local communities.

Real estate is a complex and dynamic industry, and it requires expertise in various areas such as finance, law, construction, and marketing. Real estate professionals such as real estate agents, brokers, appraisers, and property managers play an important role in the real estate market by providing services to buyers, sellers, investors, and tenants. 

The real estate industry is constantly evolving, and new technologies such as artificial intelligence, blockchain, and virtual reality are changing the way real estate is bought, sold, and managed. Real estate professionals need to stay informed about the latest trends and innovations in order to stay competitive and provide value to their clients.

[suneetsingal1]

8 Ways Technology is Transforming the Real Estate Industry

Technology has become a driving force in reshaping industries, and real estate is no exception. The way properties are marketed, sold, and managed has undergone significant changes thanks to advances in tools and platforms. Drawing on years of experience working with cutting-edge solutions in real estate, I’ve seen firsthand how technology is creating efficiencies, improving client experiences, and unlocking new opportunities. Below, I’ll explore eight ways technology is transforming the real estate industry and share actionable insights to help professionals stay ahead of the curve.

1. Virtual Reality (VR) and Augmented Reality (AR) for Property Tours

Virtual and augmented reality have revolutionized how buyers and investors explore properties. What once required an in-person visit can now be done from the comfort of one’s home. VR provides fully immersive property tours, giving clients a detailed view of a property’s layout, dimensions, and aesthetics. AR takes this a step further by overlaying digital information onto real-world spaces, allowing potential buyers to visualize how a property might look with different furniture or renovations.

This shift isn’t just about convenience; it’s about expanding market reach. Sellers can attract international buyers, and developers can pre-sell units before construction is complete by offering virtual walkthroughs. These tools save time for everyone involved while enhancing the decision-making process.

2. Artificial Intelligence (AI) in Market Analysis

AI is becoming a cornerstone of decision-making in real estate. By processing vast amounts of data, AI algorithms can identify trends, forecast market fluctuations, and evaluate property values with incredible precision. This has opened the door for smarter investment strategies, helping buyers and sellers alike make informed choices.

For instance, AI-powered tools can analyze historical sales data, economic conditions, and neighborhood developments to predict property appreciation. These insights are invaluable for investors looking to identify high-growth areas or optimize pricing strategies. Agents, too, benefit from AI by gaining access to predictive analytics that refine how they approach their markets.

3. Blockchain for Secure and Transparent Transactions

Blockchain technology is introducing unparalleled transparency and security to real estate transactions. By using distributed ledgers, blockchain eliminates the need for intermediaries like banks or escrow agents, speeding up transactions and reducing costs. This technology also ensures that all parties involved in a deal have access to tamper-proof records, minimizing fraud risks.

One of the most exciting applications of blockchain is smart contracts. These self-executing contracts automatically enforce the terms of an agreement, reducing delays and disputes. From property transfers to rental agreements, blockchain is making processes more efficient and secure.

4. Internet of Things (IoT) and Smart Homes

Smart home technology, powered by IoT devices, is redefining the value proposition for residential and commercial properties. Buyers increasingly prioritize homes equipped with IoT-enabled systems, such as smart thermostats, lighting, and security cameras, which can be controlled remotely. These features enhance convenience and contribute to energy efficiency and cost savings.

For landlords and property managers, IoT offers operational benefits like real-time monitoring of energy usage, predictive maintenance alerts, and improved tenant communication. Properties with IoT integration are more appealing to tech-savvy buyers and tenants, setting them apart in competitive markets.

5. Big Data for Informed Decision-Making

The rise of big data has transformed how real estate professionals operate. By aggregating and analyzing data from various sources—such as market reports, consumer behavior insights, and demographic studies—agents and investors can make more accurate and strategic decisions.

Big data is particularly useful in identifying emerging markets and trends. For example, it can reveal neighborhoods with increasing demand for housing due to infrastructure developments or population growth. This foresight helps professionals position themselves to capitalize on opportunities early, providing a competitive edge.

6. Online Marketplaces and Digital Platforms

The days of relying solely on classified ads or in-person agents to find a property are long gone. Online real estate platforms have revolutionized how properties are bought and sold. Websites and apps provide users with access to thousands of listings, complete with high-quality photos, detailed descriptions, and virtual tours.

These platforms also streamline the buying process by integrating tools like mortgage calculators, instant messaging with agents, and even online bidding. Buyers gain greater transparency and control, while sellers benefit from increased visibility. For agents, these platforms are a valuable tool for reaching broader audiences and closing deals faster.

7. 3D Printing in Construction

While still in its early stages, 3D printing is making waves in the construction side of real estate. This technology allows for the rapid and cost-effective creation of building components, or even entire structures, using sustainable materials. It’s particularly promising for addressing housing shortages or creating affordable housing solutions.

Beyond cost savings, 3D printing enables architects and developers to experiment with innovative designs that would be difficult or expensive to achieve through traditional methods. As the technology matures, we can expect it to play an even bigger role in shaping the future of real estate development.

8. AI-Powered Customer Service

AI isn’t just helping with market analysis—it’s also enhancing the customer experience. Virtual assistants and chatbots are now commonplace on real estate websites, handling inquiries, scheduling property viewings, and providing tailored recommendations. This level of automation ensures clients receive timely responses, even outside regular business hours.

By automating routine tasks, real estate professionals can focus on more complex responsibilities, such as negotiating deals or developing personalized strategies for their clients. AI tools are proving to be a win-win for agents and clients alike, streamlining workflows while improving service quality.

Key Technological Advancements in Real Estate

Virtual tours with VR and AR enhance property viewing.

AI powers market analysis and automates customer service.

Blockchain secures transactions and reduces fraud.

Smart homes use IoT for convenience and efficiency.

Big data informs decisions, and 3D printing aids construction.

In Conclusion

Technology is transforming real estate by streamlining operations, enhancing customer experiences, and creating new opportunities for growth. Adopting innovations like AI, VR, blockchain, and smart homes enables professionals to stay competitive and better serve clients. Those who embrace these advancements will lead the way in shaping the future of the industry.

[global-research-report]

Next-Gen Customer Support: How Contact Center Software is Leading the Way

Contact Center Software Industry Overview

The global contact center software market size is expected to reach USD 149.58 billion by 2030, expanding at a CAGR of 23.9% from 2023 to 2030, according to a new report by Grand View Research, Inc. The contact center software market encompasses software and services used by organizations to streamline business processes and enhance customer interactions. It involves real-time call monitoring, agent assignment, and centralized reporting for improved efficiency. Contact center software plays a crucial role in facilitating effective communication between contact center workers and clients, leading to enhanced productivity.

The strong emphasis businesses are putting on leveraging the advances in the latest technologies and integrating Artificial Intelligence (AI) and machine learning into their business processes is expected to drive the market further. For instance, in May 2023, Anthropic, an AI safety and research company, and Zoom, a video communication platform provider, established a partnership where Anthropic's generative AI model would be integrated into Zoom's Contact Center portfolio. As part of this collaboration, Zoom also made an investment in Anthropic, although specific details regarding the amount and terms of the investment were not disclosed.

Gather more insights about the market drivers, restrains and growth of the Contact Center Software Market

The adoption of advanced technologies such as cloud-based solutions and AI has emerged as a key driver for the contact center software market. Cloud-based solutions offer scalability, flexibility, and cost-effectiveness, allowing organizations to easily manage and scale their contact center operations. AI-powered features like chatbots, natural language processing, and sentiment analysis enhance customer interactions by providing personalized and efficient support. These technologies not only improve customer satisfaction but also contribute to operational efficiency, enabling contact centers to handle a higher volume of inquiries and optimize agent productivity.

The COVID-19 pandemic has had a significant positive impact on the contact center software market. With the sudden shift towards remote work and the need for virtual customer service solutions, organizations across various industries have turned to contact center software to ensure uninterrupted customer support. The pandemic has highlighted the importance of robust and flexible contact center solutions that can be accessed remotely. As a result, businesses have invested heavily in contact center software to enable their agents to work from home and continue providing seamless customer service.

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

The global artificial intelligence in marketing market size was estimated USD 20,447.1 million in 2024 and projected to grow at a CAGR of 25.0% from 2025 to 2030. 

The global charging as a service market size was estimated at USD 338.3 million in 2024 and is expected to grow at a CAGR of 25.0% from 2025 to 2030.

Contact Center Software Market Segmentation

Grand View Research has segmented the global contact center software market on the basis of solution, service, deployment, enterprise size, end-use, and region:

Contact Center Software Solution Outlook (Revenue, USD Billion, 2017 - 2030)

Automatic Call Distribution (ACD)

Call Recording

Computer Telephony Integration (CTI)

Customer Collaboration

Dialer

Interactive Voice Responses (IVR)

Reporting & Analytics

Workforce Optimization

Others

Contact Center Software Service Outlook (Revenue, USD Billion, 2017 - 2030)

Integration & Deployment

Support & Maintenance

Training & Consulting

Managed Services

Contact Center Software Deployment Outlook (Revenue, USD Billion, 2017 - 2030)

Hosted

On-premise

Contact Center Software Enterprise Size Outlook (Revenue, USD Billion, 2017 - 2030)

Large Enterprise

Small & Medium Enterprise

Contact Center Software End-use Outlook (Revenue, USD Billion, 2017 - 2030)

BFSI

Consumer Goods & Retail

Government

Healthcare

IT & Telecom

Traveling & Hospitality

Others

Contact Center Software Regional Outlook (Revenue, USD Billion, 2017 - 2030)

North America

US

Canada

Europe

Germany

UK

Spain

France

Asia Pacific

China

India

Japan

South Korea

Australia

Latin America

Brazil

Mexico

Middle East & Africa

Kingdom of Saudi Arabia (KSA)

UAE

South Africa

Key Companies profiled:

8X8, Inc.

ALE International

Altivon

Amazon Web Services, Inc.

Ameyo

Amtelco

Aspect Software

Avaya Inc.

Avoxi

Cisco Systems, Inc.

Enghouse Interactive Inc.

Exotel Techcom Pvt. Ltd.

Five9, Inc.

Genesys

Microsoft Corporation

Recent Developments

In May 2023, BT Group plc and Five9, Inc. announced the expansion of partnership to provide cloud-based contact centers across the globe. Through the partnership end use companies can access Five9 Intelligent CX Platform which is embedded with data and voice services of BT Group plc.

In March 2023, Five9, Inc. introduced an Agent Assist 2.0 solution. It is integrated with AI summary and powered by OpenAI. The solution help end use companies to improve agent performance, processes, and customer experience.

Order a free sample PDF of the Contact Center Software Market Intelligence Study, published by Grand View Research.

[credenceresearchdotblog]

The Radiodermatitis Market is projected to grow from USD 471.68 million in 2023 to an estimated USD 674.26 million by 2032, registering a compound annual growth rate (CAGR) of 4.05% from 2024 to 2032.Radiodermatitis, also known as radiation-induced dermatitis, is a common side effect experienced by cancer patients undergoing radiotherapy. It manifests in varying degrees, ranging from mild redness and peeling to severe ulceration and necrosis. With the rising prevalence of cancer globally and increasing adoption of radiotherapy, the demand for effective treatments for radiodermatitis has grown significantly. The radiodermatitis market has witnessed substantial expansion, driven by advancements in treatment options, heightened awareness, and increased healthcare spending.

Browse the full report at https://www.credenceresearch.com/report/radiodermatitis-market

Market Drivers

Growing Cancer Cases According to the World Health Organization (WHO), cancer remains one of the leading causes of death worldwide. Radiotherapy is a cornerstone treatment for many cancer types, often causing radiodermatitis as a side effect. This has propelled demand for effective preventative and therapeutic measures, directly influencing the market.

Innovative Treatment Approaches Pharmaceutical and biotechnology companies are continuously innovating, developing advanced topical agents, gels, creams, and dressings specifically targeting radiodermatitis. Products like corticosteroid creams, hyaluronic acid-based dressings, and medical honey-based formulations are gaining traction for their efficacy and patient-friendly properties.

Rising Awareness and Support Programs Initiatives by healthcare organizations and patient advocacy groups to raise awareness about the importance of managing radiodermatitis have played a crucial role in market growth. Educational campaigns ensure that patients and healthcare providers are better informed about available treatments.

Expanding Healthcare Infrastructure Emerging economies are investing heavily in their healthcare systems, enabling better access to radiotherapy and related care. This creates opportunities for radiodermatitis treatment providers to tap into these growing markets.

Challenges in the Market

High Costs of Advanced Treatments Innovative radiodermatitis treatments, while effective, are often expensive. This can limit access for patients in low- and middle-income countries.

Limited Standardized Guidelines The absence of universally accepted guidelines for radiodermatitis management leads to variations in treatment practices, which may hinder the adoption of specific products.

Side Effects of Treatments Some treatments for radiodermatitis come with their own side effects, potentially discouraging their use.

Future Outlook

The radiodermatitis market is poised for significant growth in the coming years, driven by technological advancements and an increased focus on improving patient quality of life. Innovations like nanotechnology-based treatments and the integration of artificial intelligence for personalized care are expected to revolutionize the market. Moreover, government and private-sector initiatives to improve healthcare access in developing countries will further boost market growth.

Key players

3M

Mölnlycke Health Care AB

KCI Licensing Inc.

Smith & Nephew

Helsinn Healthcare SA

Stratpharma AG

Helsinn Healthcare SA

Segments

Based on Product

Hydrogel & Hydrocolloid Dressings

No-Sting Barrier Films

Silver Leaf Dressings

Silicone-Coated Dressings

Corticosteroids and Hydrophilic Creams

Others

Based on Route of Administration

Topical

Oral

Based on Distribution Channel

Hospitals

Cancer Specialist Clinics

Research Institutes

Others

Based on Region

North America

Europe

Asia-Pacific

Rest of the World

Browse the full report at https://www.credenceresearch.com/report/radiodermatitis-market

About Us:

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Contact:

Credence Research

Please contact us at +91 6232 49 3207

Email: sales@credenceresearch.com

[musicinstrumentsins]

How AI Can Transform the Future of Music?

Music has always been an unperturbed entity that is constantly changing. It is always evolving with new technology and how we as a society regard and feel. Totally! It feels absurd to think about how much it has changed over the centuries. And now, we are right on the brink of another big change. Can you guess what we are talking about? It is Artificial intelligence, or AI. It is going to be a game-changer that will revolutionize the industry. How exactly is that going to work? Well, AI can do everything. From composing songs to producing them - a cakewalk for AI. It can even help with how we distribute and listen to musical pieces. Let's find out what the future of music looks like!

Generating Music with Tech

Do you know one of the significant ways AI can transform the industry? Well! It is by generating original music. You can leverage the capabilities of AI to compose new pieces, mimic the styles of famous composers, and customize soundtracks according to individual tastes. It helps aspiring and seasoned musicians to experiment and explore new dimensions. However, with the advancement of AI-generated music, a series of questions seem to arise about the role of human inventiveness and the future of authentic artistry. No matter whether you go with the AI flow or stick to your roots, a comprehensive Music Instruments Insurance plan should remain your priority.

AI is also making a big difference in music production. AI tools can automate various tasks, including mixing, mastering, and sound design. This gives musicians more time to focus on their creative ideas. AI can also explore massive amounts of music data to spot trends and patterns, offering valuable information for artists and producers. While these refinements can make the production process more efficient, they also raise concerns about the possible loss of human creativity and the commercialization of industry.

Apart from music creation, production, and consumption, AI-enriched analytics tools can help artists find their target audiences. These tools also help refine marketing strategies and track revenue. Moreover, they can streamline distribution and licensing to ensure fair and transparent compensation for artists. However, as AI becomes more powerful, it is crucial to address concerns like copyright infringement, fair compensation, and the ethical use of AI to influence consumer behavior.

Although AI offers incredible potential for creativity in the industry, it is imperative to find a balance between technology and human artistry. AI should be used as a tool to enhance the creative process, not completely replace it. By using AI responsibly and ethically, we can ensure that the future of music remains a diverse and vibrant space where human creativity and technological innovation coexist peacefully.

It is needless to say as a musician, you pour your heart and soul into our instruments - our beloved friends. They are not just devices. They are often cherished companions. Protecting these valuable assets is crucial, and Music Instruments Insurance provides a safety net against life's unexpected twists and turns.

A dedicated musical equipment insurance plan offers coverage for a variety of risks. These include theft, accidental damage, and natural disasters. It can also cover losses incurred during transportation, rehearsals, and performances. By investing in appropriate insurance coverage, you can safeguard their gears and minimize financial loss in case of accidents or mishaps.

Choosing the right insurance policy involves considering various factors, including the value of your gear, the types of risks you want to cover, and your financial planning. It is advisable to consult with an insurance agent who specializes in such insurance products to understand your specific needs and find the most suitable coverage.

By taking proactive steps to protect your instruments, you can ensure that our musical journeys continue uninterrupted, allowing you to focus on creating beautiful music and sharing it with the world.

[zentrumhub]

Transforming the Travel Industry with Advanced Travel Agency Software

In the dynamic landscape of travel, agencies require tools that streamline their operations and enhance customer satisfaction. Travel agency software emerges as a vital solution, driving business efficiency and offering a competitive edge. Let’s explore how this technology reshapes the travel sector, its core benefits, and why choosing the right platform, such as ZentrumHub, can be transformative. 

1. The Essence of Travel Agency Software 

Travel agency software acts as a centralized platform that automates and manages various aspects of a travel agency’s operations. From handling bookings to managing supplier integrations and client communications, this technology provides a comprehensive solution tailored to the industry’s needs. By centralizing these operations, agencies can reduce manual effort, lower the risk of errors, and improve overall productivity. 

2. Key Features Driving Success 

Robust travel agency software is equipped with advanced functionalities that cater to modern travel requirements: 

Integration Capabilities: Seamless connection with global distribution systems (GDS) and third-party APIs allows agencies to access a wide range of travel services and information. 

User-Friendly Interface: An intuitive design ensures that travel agents can manage bookings and itineraries without technical hiccups. 

Customization and Scalability: Tailored solutions that adapt to both small-scale agencies and large enterprises. 

ZentrumHub’s travel agency software stands out by offering cutting-edge features that align with these needs, providing agencies with a platform that emphasizes speed, flexibility, and comprehensive service offerings. 

Read more about ZentrumHub’s capabilities here. 

3. Benefits for Travel Agencies 

The use of travel agency software brings a multitude of advantages: 

Enhanced Operational Efficiency: Automation streamlines processes like bookings, cancellations, and itinerary adjustments, reducing manual work and freeing up staff for more strategic tasks. 

Improved Customer Experience: Real-time data and smooth communication channels ensure clients receive timely updates and personalized service. By centralizing data, agents can respond quickly to customer needs, enhancing their experience. 

For more insights on this topic, check out Enhancing Customer Experience with Travel Agency Software. 

Centralized Data Management: All client information, booking history, and preferences are stored in one place, simplifying data retrieval and analysis. 

4. The Game-Changing Nature of the Right Software 

Not all travel agency software is created equal. The right solution not only manages current needs but also anticipates future trends. Software like ZentrumHub integrates real-time analytics and AI, enabling agencies to make data-driven decisions swiftly. 

Choosing a well-rounded platform can be the key differentiator in maintaining relevancy in a competitive market. A reliable software solution supports scalability, whether an agency is expanding into new markets or offering diverse travel packages. 

Discover why travel agency software is a game-changer. 

5. ZentrumHub’s Unique Proposition 

ZentrumHub has gained recognition for its seamless integrations and powerful features that set it apart. Its technology supports: 

Efficient API Integration: Quick and smooth connections to travel suppliers. 

Custom Solutions: Whether a boutique agency or a large-scale operator, ZentrumHub adapts to unique business models. 

Scalable Infrastructure: Designed to grow with the needs of an agency, ensuring sustainability and long-term use. 

6. Future Trends in Travel Agency Software 

The travel industry is poised for continued technological advancements. Emerging trends include: 

Artificial Intelligence and Machine Learning: These tools will provide deeper personalization for clients and optimize backend operations. 

Blockchain Technology: Potential for increased transparency in bookings and payment processes. 

Sustainability Features: Software that helps agencies track carbon footprints and promote eco-friendly travel options. 

Agencies that stay ahead of these trends by adopting innovative software solutions will be well-positioned to lead the market. 

7. Conclusion 

The right travel agency software can be a game changer, offering unmatched efficiency, customer satisfaction, and growth potential. Investing in a robust, feature-rich solution like ZentrumHub ensures that agencies can navigate the complex landscape of travel with confidence. Whether improving operational efficiency or offering personalized services, technology is an ally that every forward-thinking travel agency should embrace. 

[newcoin6]

Discover Newcoin's Cutting-Edge Decentralized AI Network for Peer-to-Peer Learning

Artificial intelligence is transforming industries across the globe, and Newcoin's cutting-edge decentralized AI network is at the forefront of this transformation. With its innovative approach to decentralized ai network design, Newcoin is reshaping how machine learning models are developed, trained, and shared. Unlike traditional, centralized AI systems that rely on a few powerful entities, Newcoin creates a collaborative ecosystem where knowledge, data, and insights are distributed across a wide network of participants. This decentralized approach promotes greater transparency, security, and scalability, ultimately driving the evolution of AI in a more open and inclusive way.

At its core, Newcoin's decentralized AI network is built on the principle of peer-to-peer learning. Each agent node within the network is capable of independently learning from its peers, without relying on a central authority to dictate what is considered correct or valuable. This peer-to-peer model promotes a more robust learning environment, where each agent contributes to the collective intelligence of the network. The decentralized nature of Newcoin's platform ensures that everyone has a role in shaping the development of AI, from individual developers to large organizations. This approach not only accelerates innovation but also democratizes access to AI capabilities, allowing more people to participate in AI research and development.

One of the most significant advantages of Newcoin's decentralized AI network is its ability to overcome the limitations of centralized AI systems. In traditional models, data and processing power are controlled by a small group of companies, which can lead to biases and restrictions. With Newcoin, the network is open, and data is distributed across various agent nodes, which allows for a more diverse range of inputs and viewpoints. This decentralized structure encourages creativity and enables faster problem-solving by harnessing the collective intelligence of the entire network. As a result, Newcoin’s decentralized AI network is better equipped to solve complex challenges and produce more accurate, reliable AI models.

Security is another key feature of Newcoin's decentralized AI network. Centralized AI systems often present security risks because they rely on a single point of failure. If a central server is compromised, the entire system can be affected. However, Newcoin’s decentralized design mitigates these risks by distributing data and processing tasks across multiple nodes. This not only enhances the security of the network but also makes it more resilient to attacks and failures. By reducing the reliance on a single entity, Newcoin creates a more secure environment for AI development, ensuring that data remains protected and the integrity of the network is maintained.

The open-source nature of Newcoin’s decentralized AI network also fosters a collaborative approach to AI development. With an open platform, anyone can contribute, modify, or improve the network’s underlying code. This openness encourages a diverse range of contributions, which ultimately enhances the platform’s capabilities. Whether you are an experienced AI researcher or a newcomer, Newcoin provides the tools and resources necessary to get involved and make a meaningful impact. This openness not only accelerates the development of AI but also ensures that the network evolves in ways that reflect the needs and insights of a global community.

Newcoin’s decentralized AI network is also scalable, allowing it to grow and adapt as more nodes join the network. As the platform expands, more agent nodes contribute additional processing power, improving the overall performance of the system. This scalability is essential for tackling large-scale AI problems that require significant computational resources. The decentralized structure ensures that the network can handle increasing demand without sacrificing speed or efficiency. As Newcoin’s ecosystem continues to expand, it will be able to support even more complex AI applications and facilitate faster, more efficient AI development.

In conclusion, Newcoin's cutting-edge decentralized AI network is revolutionizing the field of artificial intelligence by promoting a more open, secure, and collaborative environment for AI development. Through peer-to-peer learning and decentralized data processing, Newcoin enables faster innovation, more accurate models, and greater access to AI capabilities. By overcoming the limitations of centralized systems, Newcoin is paving the way for a future where AI is developed and deployed in a more transparent and inclusive manner. As the network continues to grow and evolve, Newcoin’s decentralized AI network will play a pivotal role in shaping the future of AI technology and its applications across various industries.

[marketanalysisdata]

Contact Center Software Market Segments by Application 2030

The global contact center software market was valued at USD 33.38 billion in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 23.9% from 2023 to 2030. The primary driver of this growth is the increasing emphasis on enhancing customer experience. As businesses recognize the importance of high-quality customer service in fostering customer loyalty and satisfaction, they are investing in contact center software to improve response times, streamline interactions, and personalize each customer experience. In line with these efforts, the growing popularity of omnichannel communication is further accelerating the adoption of contact center solutions.

Modern customers expect to interact with companies through a variety of channels, including phone calls, email, live chat, social media, and more. Contact center software enables businesses to integrate and manage these diverse communication channels, ensuring that customers enjoy a seamless and consistent experience across all touchpoints. This omnichannel capability is especially important for companies looking to meet or exceed customer expectations for convenience and consistency.

In addition to omnichannel communication, the market is also driven by advancements in data analytics and artificial intelligence (AI). Contact center software now incorporates AI-powered tools, such as chatbots, speech analytics, and predictive analytics, which help businesses automate routine processes, derive actionable insights from customer interactions, and enhance operational efficiency. These AI-driven features allow companies to understand customer behavior, predict their needs, and improve the overall customer journey.

Gather more insights about the market drivers, restrains and growth of the Contact Center Software Market

The drive for cost optimization and increased operational efficiency is another significant factor fueling demand for contact center software. These solutions allow businesses to streamline workflows, automate repetitive tasks, and increase agent productivity through functionalities like call routing, workforce management, and real-time reporting. By optimizing resources, businesses can minimize operational costs and enhance efficiency. Moreover, as companies continue to expand globally, contact center software is becoming essential for managing customer interactions across regions and time zones.

One of the challenges in the contact center software market is the complexity involved in integrating new software with existing systems. Integrating modern contact center solutions into a company's existing infrastructure can be a complicated process, requiring careful planning and coordination. Legacy systems or outdated infrastructure may not always be compatible with new technologies, leading to potential disruptions or integration difficulties. To address this challenge, businesses are encouraged to conduct thorough assessments of their current systems and infrastructure to identify compatibility issues or gaps. This preparatory step allows organizations to plan necessary upgrades or modifications, facilitating smoother integration.

End Use Segmentation Insights:

In 2022, the IT & telecom segment led the contact center software market, holding a revenue share of over 24.0%. The IT and telecom sectors heavily rely on efficient customer support systems to resolve technical issues, provide guidance, and deliver high-quality service. Contact center software is crucial for optimizing these interactions, ensuring that communication between customers and IT & telecom companies is seamless. Features such as call routing, automatic call distribution, and customer relationship management (CRM) integration help IT and telecom providers manage high volumes of inquiries efficiently, enabling them to resolve customer issues quickly and effectively.

The consumer goods and retail segment is projected to grow at the fastest rate over the forecast period. With consumers increasingly using digital channels for shopping, consumer goods and retail businesses are adopting contact center solutions to meet the demands of a tech-savvy customer base. Contact center software enables these companies to provide personalized interactions, helping build stronger customer relationships. By automating high-quality service interactions, this software also allows customer service agents to focus on activities that drive revenue and strengthen brand perception. Furthermore, AI-powered tools support these businesses by offering enhanced insights into customer preferences and behaviors, allowing for better-targeted support and marketing efforts.

In summary, the contact center software market is expected to witness substantial growth driven by increasing customer experience demands, omnichannel capabilities, and advancements in AI and data analytics. Despite challenges related to system integration, the market is anticipated to expand as businesses across industries adopt these solutions to improve operational efficiency, customer satisfaction, and brand loyalty.

Order a free sample PDF of the Contact Center Software Market Intelligence Study, published by Grand View Research.

[reality-detective]

DJT's EXECUTIVE ORDERS

13818

● Confiscated private and corporate assets

● Seized the NYSE

● Blocking the property of those involved in serious human rights abuses or corruption.

human trafficking

13848

● 13848 imposes certain sanctions in the event of foreign interference in any of the United States

choice

13959

● Maintain American leadership in artificial intelligence

Khazarian assets confiscated

● Among the top 3 executive orders - many DS assets were confiscated and DS Agents reversed

○ 13818, 13848 and 13959

● The Space Force has EVERYTHING under control!

● DS money will be used up quickly

● All DS gold has already been confiscated (Vatican etc.)

● Wall Street, Washington DC, Vatican and City of London - all dead

● OPERATION: DEFEND EUROPE. This started March 17th 2020 and takes over the Vatican, it's the mafia and it's seizing all the Rothschilds central banks

● Brexit has severed the Vatican's ropes and stripped the Royals of all assets

● We're going to Tesla and metals instead of oil and gas

GESARA – Global Economic Security and Reform Act

● It should be implemented on 10/11/2001. Stopped by the Khazarian false flag event on 9/11

● Elimination of the national debt of all nations of the world

● No taxes. Only a fixed sales tax of around 15% on new goods

● Waiving of mortgages and other bank departments due to illegal government activities

● Back to constitutional law - get rid of the corrupt law of the sea

● Newly elected leaders - only 10% of current governments

● World peace for 1,000 years

● Eliminate all current and future nuclear weapons on planet earth

● Gold Standard!

● Introduction of new hidden technologies - 6,000 Tesla patents. free energy

● Build and rebuild in all countries at 1950s prices

● The power back to We The People. Global distribution of wealth

● Odin project = World EBS (Emergency Broadcast System)

========================

Do your own research 🤔

[marketstudyreport]

Contact Center Software Market 2030 Drivers Overview, Competitive Landscape & Future Plans

The global contact center software market was valued at USD 33.38 billion in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 23.9% from 2023 to 2030. The primary driver of this growth is the increasing emphasis on enhancing customer experience. As businesses recognize the importance of high-quality customer service in fostering customer loyalty and satisfaction, they are investing in contact center software to improve response times, streamline interactions, and personalize each customer experience. In line with these efforts, the growing popularity of omnichannel communication is further accelerating the adoption of contact center solutions.

Modern customers expect to interact with companies through a variety of channels, including phone calls, email, live chat, social media, and more. Contact center software enables businesses to integrate and manage these diverse communication channels, ensuring that customers enjoy a seamless and consistent experience across all touchpoints. This omnichannel capability is especially important for companies looking to meet or exceed customer expectations for convenience and consistency.

In addition to omnichannel communication, the market is also driven by advancements in data analytics and artificial intelligence (AI). Contact center software now incorporates AI-powered tools, such as chatbots, speech analytics, and predictive analytics, which help businesses automate routine processes, derive actionable insights from customer interactions, and enhance operational efficiency. These AI-driven features allow companies to understand customer behavior, predict their needs, and improve the overall customer journey.

Gather more insights about the market drivers, restrains and growth of the Contact Center Software Market

The drive for cost optimization and increased operational efficiency is another significant factor fueling demand for contact center software. These solutions allow businesses to streamline workflows, automate repetitive tasks, and increase agent productivity through functionalities like call routing, workforce management, and real-time reporting. By optimizing resources, businesses can minimize operational costs and enhance efficiency. Moreover, as companies continue to expand globally, contact center software is becoming essential for managing customer interactions across regions and time zones.

One of the challenges in the contact center software market is the complexity involved in integrating new software with existing systems. Integrating modern contact center solutions into a company's existing infrastructure can be a complicated process, requiring careful planning and coordination. Legacy systems or outdated infrastructure may not always be compatible with new technologies, leading to potential disruptions or integration difficulties. To address this challenge, businesses are encouraged to conduct thorough assessments of their current systems and infrastructure to identify compatibility issues or gaps. This preparatory step allows organizations to plan necessary upgrades or modifications, facilitating smoother integration.

End Use Segmentation Insights:

In 2022, the IT & telecom segment led the contact center software market, holding a revenue share of over 24.0%. The IT and telecom sectors heavily rely on efficient customer support systems to resolve technical issues, provide guidance, and deliver high-quality service. Contact center software is crucial for optimizing these interactions, ensuring that communication between customers and IT & telecom companies is seamless. Features such as call routing, automatic call distribution, and customer relationship management (CRM) integration help IT and telecom providers manage high volumes of inquiries efficiently, enabling them to resolve customer issues quickly and effectively.

The consumer goods and retail segment is projected to grow at the fastest rate over the forecast period. With consumers increasingly using digital channels for shopping, consumer goods and retail businesses are adopting contact center solutions to meet the demands of a tech-savvy customer base. Contact center software enables these companies to provide personalized interactions, helping build stronger customer relationships. By automating high-quality service interactions, this software also allows customer service agents to focus on activities that drive revenue and strengthen brand perception. Furthermore, AI-powered tools support these businesses by offering enhanced insights into customer preferences and behaviors, allowing for better-targeted support and marketing efforts.

In summary, the contact center software market is expected to witness substantial growth driven by increasing customer experience demands, omnichannel capabilities, and advancements in AI and data analytics. Despite challenges related to system integration, the market is anticipated to expand as businesses across industries adopt these solutions to improve operational efficiency, customer satisfaction, and brand loyalty.

Order a free sample PDF of the Contact Center Software Market Intelligence Study, published by Grand View Research.

[govindhtech]

NayaOne Digital Sandbox Supports Financial Services Growth

Leaders in Fintech Use Generative AI to Provide Faster, Safer, and More Accurate Financial Services.

Ntropy, Contextual AI, NayaOne, and Securiti improve financial planning, fraud detection, and other AI applications with NVIDIA NIM microservices and quicker processing. A staggering 91% of businesses in the financial services sector (FSI) are either evaluating artificial intelligence or currently using it as a tool to improve client experiences, increase operational efficiency, and spur innovation.

Generative AI powered by NVIDIA NIM microservices and quicker processing may improve risk management, fraud detection, portfolio optimization, and customer service.

Companies like Ntropy, Contextual AI, and NayaOne all part of the NVIDIA Inception program for innovative startups are using these technologies to improve financial services applications.

Additionally, NVIDIA NIM is being used by Silicon Valley-based firm Securiti to develop an AI-powered copilot for financial services. Securiti is a centralized, intelligent platform for data and generative AI safety.

The businesses will show how their technology can transform heterogeneous, sometimes complicated FSI data into actionable insights and enhanced innovation possibilities for banks, fintechs, payment providers, and other organizations at Money20/20, a premier fintech conference taking place this week in Las Vegas.

- Advertisement -

Ntropy Brings Order to Unstructured Financial Data

New York-based Ntropy Organizes Unstructured Financial Data Ntropy assists in clearing financial services processes of different entropy disorder, unpredictability, or uncertainty states.

By standardizing financial data from various sources and geographical locations, the company’s transaction enrichment application programming interface (API) serves as a common language that enables financial services applications to comprehend any transaction with human-like accuracy in milliseconds, at a 10,000x lower cost than conventional techniques.

The NVIDIA Triton Inference Server and Llama 3 NVIDIA NIM microservice use NVIDIA H100 Tensor Core GPUs. The Llama 3 NIM microservice increased Ntropy’s large language models (LLMs) usage and throughput by 20x compared to native models.

Using LLMs and the Ntropy data enricher, Airbase, a top supplier of procure-to-pay software platforms, improves transaction authorization procedures.

Ntropy will talk at Money20/20 about how their API may be used to clean up merchant data belonging to consumers, which increases fraud detection by enhancing risk-detection algorithms’ accuracy. Consequently, this lowers revenue loss and erroneous transaction declines.

In order to expedite loan distribution and user decision-making, an additional demonstration will demonstrate how an automated loan agent uses the Ntropy API to examine data on a bank’s website submit an appropriate investment report.

What Is A Contextual AI?

Contextual AI perceives and reacts to its surroundings. This implies that when it answers, it takes into account the user’s location, prior actions, and other crucial information. These systems are designed to provide customized and relevant responses.

Contextual AI Advances Retrieval-Augmented Generation for FSI

A California-based company with headquarters in Mountain View, provides a production-grade AI platform that is perfect for developing corporate AI applications in knowledge-intensive FSI use cases. Retriever-augmented generation powers this platform.

In order to provide significantly higher accuracy in context-dependent tasks, the Contextual AI platform combines the entire RAG pipeline extraction, retrieval, reranking, and generation into a single, optimized system that can be set up in a matter of minutes and further customized and tuned in response to user requirements.

HSBC intends to employ contextual AI to retrieve and synthesize pertinent market outlooks, financial news, and operational papers in order to enhance research findings and process recommendations. Contextual AI’s pre-built applications, which include financial analysis, policy-compliance report production, financial advising inquiry resolution, and more, are also being used by other financial institutions.

A user may inquire, “What’s our forecast for central bank rates by Q4 2025?” for instance. With references to certain parts of the source, the Contextual AI platform would provide a succinct explanation and a precise response based on real documents.

Contextual AI works with the open-source NVIDIA TensorRT-LLM library and NVIDIA Triton Inference Server to improve LLM inference performance.

NayaOne Provides Digital Sandbox for Financial Services Innovation

London-based NayaOne Offers a Digital Sandbox for Financial Services Innovation. Customers may safely test and certify AI applications using NayaOne‘s AI sandbox before they are commercially deployed. Financial institutions may develop synthetic data and access hundreds of fintechs on its platform.

Customers may utilize the digital sandbox to better assure top performance and effective integration by benchmarking apps for accuracy, fairness, transparency, and other compliance standards.

The need for AI-powered financial services solutions is growing, and our partnership with NVIDIA enables organizations to use generative AI’s potential in a safe, regulated setting. “Its’re building an ecosystem that will enable financial institutions to prototype more quickly and efficiently, resulting in genuine business transformation and expansion projects.”

Customers may explore and experiment with optimal AI models using NayaOne‘s AI Sandbox, which makes use of NVIDIA NIM microservices, and more quickly deploy them. When using NVIDIA accelerated computing, NayaOne can analyze massive datasets for its fraud detection models up to 10 times quicker and with up to 40% less infrastructure cost than when using extensive CPU-based algorithms.

Using the open-source NVIDIA RAPIDS data science and AI libraries, the digital sandbox speeds up money movement fraud detection and prevention. At the NVIDIA AI Pavilion at Money20/20, the company will display its digital sandbox.

Securiti’s AI Copilot Enhances Financial Planning

Securiti’s very adaptable Data+AI platform enables customers to create secure, end-to-end corporate AI systems, supporting a wide variety of generative AI applications such as safe enterprise AI copilots and LLM training and tuning.

The business is currently developing a financial planning assistant that is driven by NVIDIA NIM. In order to deliver context-aware answers to customers’ financial inquiries, the copilot chatbot accesses a variety of financial data while abiding by privacy and entitlement regulations.

The chatbot pulls information from a number of sources, including investing research materials, customer profiles and account balances, and earnings transcripts. Securiti’s technology preserves controls like access entitlements while securely ingesting and preparing information for usage with high-performance, NVIDIA-powered LLMs. Lastly, it offers consumers personalized replies via an easy-to-use user interface.

Securiti ensured the secure usage of data while optimizing the LLM’s performance using the Llama 3 70B-Instruct NIM microservice. The company will demonstrate generative AI at Money20/20. The NVIDIA AI Enterprise software platform offers Triton Inference Server and NIM microservices.

Read more on Govindhtech.com

[jcmarchi]

Babak Hodjat, CTO of AI at Cognizant – Interview Series

New Post has been published on https://thedigitalinsider.com/babak-hodjat-cto-of-ai-at-cognizant-interview-series/

Babak Hodjat, CTO of AI at Cognizant – Interview Series

Babak Hodjat is Vice President of Evolutionary AI at Cognizant, and former co-founder and CEO of Sentient. He is responsible for the core technology behind the world’s largest distributed artificial intelligence system. Babak was also the founder of the world’s first AI-driven hedge fund, Sentient Investment Management. He is a serial entrepreneur, having started a number of Silicon Valley companies as main inventor and technologist.

Prior to co-founding Sentient, Babak was senior director of engineering at Sybase iAnywhere, where he led mobile solutions engineering. He was also co-founder, CTO and board member of Dejima Inc. Babak is the primary inventor of Dejima’s patented, agent-oriented technology applied to intelligent interfaces for mobile and enterprise computing – the technology behind Apple’s Siri.

A published scholar in the fields of artificial life, agent-oriented software engineering and distributed artificial intelligence, Babak has 31 granted or pending patents to his name. He is an expert in numerous fields of AI, including natural language processing, machine learning, genetic algorithms and distributed AI and has founded multiple companies in these areas. Babak holds a Ph.D. in machine intelligence from Kyushu University, in Fukuoka, Japan.

Looking back at your career, from founding multiple AI-driven companies to leading Cognizant’s AI Lab, what are the most important lessons you’ve learned about innovation and leadership in AI?

Innovation needs patience, investment, and nurturing, and it should be fostered and unrestricted. If you’ve built the right team of innovators, you can trust them and give them full artistic freedom to choose how and what they research. The results will often amaze you. From a leadership perspective, research and innovation should not be a nice-to-have or an afterthought. I’ve set up research teams pretty early on when building start-ups and have always been a strong advocate of research investment, and it has paid off. In good times, research keeps you ahead of competition, and in bad times, it helps you diversify and survive, so there is no excuse for underinvesting, restricting or overburdening it with short-term business priorities.

As one of the primary inventors of Apple’s Siri, how has your experience with developing intelligent interfaces shaped your approach to leading AI initiatives at Cognizant?

The natural language technology I originally developed for Siri was agent-based, so I have been working with the concept for a long time. AI wasn’t as powerful in the ’90s, so I used a multi-agent system to tackle understanding and mapping of natural language commands to actions. Each agent represented a small subset of the domain of discourse, so the AI in each agent had a simple environment to master. Today, AI systems are powerful, and one LLM can do many things, but we still benefit by treating it as a knowledge worker in a box, restricting its domain, giving it a job description and linking it to other agents with different responsibilities. The AI is thus able to augment and improve any business workflow.

As part of my remit as CTO of AI at Cognizant, I run our Advanced AI Lab in San Francisco. Our core research principle is agent-based decision-making. As of today, we currently have 56 U.S. patents on core AI technology based on that principle. We’re all in.

Could you elaborate on the cutting-edge research and innovations currently being developed at Cognizant’s AI Lab? How are these developments addressing the specific needs of Fortune 500 companies?

We have several AI studios and innovation centers. Our Advanced AI Lab in San Francisco focuses on extending the state of the art in AI. This is part of our commitment announced last year to invest $1 billion in generative AI over the next three years.

More specifically, we’re focused on developing new algorithms and technologies to serve our clients. Trust, explainability and multi-objective decisions are among the important areas we’re pursuing that are vital for Fortune 500 enterprises.

Around trust, we’re interested in research and development that deepens our understanding of when we can trust AI’s decision-making enough to defer to it, and when a human should get involved. We have several patents related to this type of uncertainty modeling. Similarly, neural networks, generative AI and LLMs are inherently opaque. We want to be able to evaluate an AI decision and ask it questions about why it recommended something – essentially making it explainable. Finally, we understand that sometimes, decisions companies want to be able to make have more than one outcome objective—cost reduction while increasing revenues balanced with ethical considerations, for example. AI can help us achieve the best balance of all of these outcomes by optimizing decision strategies in a multi-objective manner. This is another very important area in our AI research.

The next two years are considered critical for generative AI. What do you believe will be the pivotal changes in this period, and how should enterprises prepare?

We’re heading into an explosive period for the commercialization of AI technologies. Today, AI’s primary uses are improving productivity, creating better natural language-driven user interfaces, summarizing data and helping with coding. During this acceleration period, we believe that organizing overall technology and AI strategies around the core tenet of multi-agent systems and decision-making will best enable enterprises to succeed. At Cognizant, our emphasis on innovation and applied research will help our clients leverage AI to increase strategic advantage as it becomes further integrated into business processes.

How will Generative AI reshape industries, and what are the most exciting use cases emerging from Cognizant’s AI Lab?

Generative AI has been a huge step forward for businesses. You now have the ability to create a series of knowledge workers that can assist humans in their day-to-day work. Whether it’s streamlining customer service through intelligent chatbots or managing warehouse inventory through a natural language interface, LLMs are very good at specialized tasks.

But what comes next is what will truly reshape industries, as agents get the ability to communicate with each other. The future will be about companies having agents in their devices and applications that can address your needs and interact with other agents on your behalf. They will work across entire businesses to assist humans in every role, from HR and finance to marketing and sales. In the near future, businesses will gravitate naturally towards becoming agent-based.

Notably, we already have a multi-agent system that was developed in our lab in the form of Neuro AI, an AI use case generator that allows clients to rapidly build and prototype AI decisioning use cases for their business. It is already delivering some exciting results, and we’ll be sharing more on this soon.

What role will multi-agent architectures play in the next wave of Gen AI transformation, particularly in large-scale enterprise environments?

In our research and conversations with corporate leaders, we’re getting more and more questions about how they can make Generative AI impactful at scale. We believe the transformative promise of multi-agent artificial intelligence systems is central to achieving that impact. A multi-agent AI system brings together AI agents built into software systems in various areas across the enterprise. Think of it as a system of systems that allows LLMs to interact with one another. Today, the challenge is that, even though business objectives, activities, and metrics are deeply interwoven, the software systems used by disparate teams are not, creating problems. For example, supply chain delays can affect distribution center staffing. Onboarding a new vendor can impact Scope 3 emissions. Customer turnover could indicate product deficiencies. Siloed systems mean actions are often based on insights drawn from merely one program and applied to one function. Multi-agent architectures will light up insights and integrated action across the business. That’s real power that can catalyze enterprise transformation.

In what ways do you see multi-agent systems (MAS) evolving in the next few years, and how will this impact the broader AI landscape?

A multi-agent AI system functions as a virtual working group, analyzing prompts and drawing information from across the business to produce a comprehensive solution not just for the original requestor, but for other teams as well. If we zoom in and look at a particular industry, this could revolutionize operations in areas like manufacturing, for example. A Sourcing Agent would analyze existing processes and recommend more cost-effective alternative components based on seasons and demand. This Sourcing Agent would then connect with a Sustainability Agent to determine how the change would impact environmental goals. Finally, a Regulatory Agent would oversee compliance activity, ensuring teams submit complete, up-to-date reports on time.

The good news is many companies have already begun to organically integrate LLM-powered chatbots, but they need to be intentional about how they start to connect these interfaces. Care must be taken as to the granularity of agentification, the types of LLMs being used, and when and how to fine-tune them to make them effective. Organizations should start from the top, consider their needs and goals, and work down from there to decide what can be agentified.

What are the main challenges holding enterprises back from fully embracing AI, and how does Cognizant address these obstacles?

Despite leadership’s backing and investment, many enterprises fear falling behind on AI. According to our research, there’s a gap between leaders’ strategic commitment and the confidence to execute well. Cost and availability of talent and the perceived immaturity of current Gen AI solutions are two significant inhibitors holding enterprises back from fully embracing AI.

Cognizant plays an integral role helping enterprises traverse the AI productivity-to-growth journey. In fact, recent data from a study we conducted with Oxford Economics points to the need for outside expertise to help with AI adoption, with 43% of companies indicating they plan to work with external consultants to develop a plan for generative AI. Traditionally, Cognizant has owned the last mile with clients – we did this with data storage and cloud migration, and agentification will be no different. This is work that must be highly customized. It’s not a one size fits all journey. We’re the experts who can help identify the business goals and implementation plan, and then bring in the right custom-built agents to address business needs. We are, and have always been, the people to call.

Many companies struggle to see immediate ROI from their AI investments. What common mistakes do they make, and how can these be avoided?

Generative AI is far more effective when companies bring it into their own data context—that is to say, customize it on their own strong foundation of enterprise data. Also, sooner or later, enterprises will have to take the challenging step to reimagine their fundamental business processes. Today, many companies are using AI to automate and improve existing processes. Bigger results can happen when they start to ask questions like, what are the constituents of this process, how do I change them, and prepare for the emergence of something that doesn’t exist yet? Yes, this will necessitate a culture change and accepting some risk, but it seems inevitable when orchestrating the many parts of the organization into one powerful whole.

What advice would you give to emerging AI leaders who are looking to make a significant impact in the field, especially within large enterprises?

Business transformation is complex by nature. Emerging AI leaders within larger enterprises should focus on breaking down processes, experimenting with changes, and innovating. This requires a shift in mindset and calculated risks, but it can create a more powerful organization.

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