Targeting AI
In this podcast, hosts Shaun Sutner, TechTarget News senior news director, and AI news writer Esther Ajao interview AI experts from the technology vendor, analyst, consultant, academic, and arts communities. They also speak with enterprise AI users and advocates for data privacy and responsible AI use. Each episode explores recent AI news events but aims for a longer, more evergreen format, typically lasting 45 minutes to an hour. Occasionally, the podcast features guests from inside TechTarget and its Enterprise Strategy Group and Xtelligent divisions, as well as news review episodes with the hosts.
Episodes
Musing about Muse’s new supporting AI models, unruly DeepSeek models
On Targeting AI in the Moment (AIM), the weekly news podcast from TechTarget.com, this week’s co-hosts chat about the latest developments in the turbulent world of generative AI.
AI news writer Esther Shittu and her editor, Shaun Sutner, report the news on the sites and offer more analysis, perspective and context on recent AI developments in this short-form news podcast series.
Check out these ne
Reflection Beam aims U.S. open-weight AI model at Chinese rivals
On Targeting AI in the Moment (AIM), the weekly news podcast from TechTarget, the three co-hosts chat about the latest developments in the turbulent world of generative AI.
AI news writer and podcaster Esther Shittu, AI news and features writer Kinza Yasar and their editor, Shaun Sutner, report the news on the sites and offer more analysis, perspective and context on recent AI developments in the
Why context is everything for AI that actually works
Context is critical in AI, according to Celonis CEO and co-founder Alex Rinke. The enterprise software development vendor specializes in process mining and process intelligence. On this Targeting AI episode, Rinke argues that process intelligence needs context, particularly business context, so that AI agents can understand workflows, operate more effectively and deliver measurable ROI.
In this ep
Anthropic plugs regulation, AI leaders meet with Trump, and open models
AI is abuzz with talk of self-regulation or some form of federal oversight; President Trump renaming AI as "superintelligence"; and open vs. closed AI amid the AI slowdown.
On the debut episode of Targeting AI in the Moment (AIM), the new weekly news podcast from AI Business and TechTarget.com, the three co-hosts chat about the latest developments in the fast-churning world of generative AI.
AI ne
Robotics has a data problem
While physical AI has been accelerating in China, the technology is just starting to gain momentum in the U.S. In this Targeting AI episode, Sce Pike, vice president of AI growth and solutions at Telus Digital, discusses the future of physical AI and robotics, focusing on data collection challenges, standardization efforts, and the cultural acceptance of robots in different regions.
In this episod
The Future of Enterprise AI Agents: Governance, Security, and Scale
With Google one of the leading model makers in the AI race, the tech giant is continually addressing challenges in interoperability, governance and the future of enterprise AI. On this episode of Targeting AI, Michael Clark, director of product management at Google Cloud, dives into how AI agents are evolving, their applications in enterprise environments, and the importance of trust and security.
Math plus AI -- a way to control agents
Most enterprises are familiar with probabilistic AI systems such as generative AI and agentic AI. According to Maha Achour, CEO and founder of enterprise AI platform vendor Kodamai, another form of AI could help enterprises better trust these systems: math-based AI. In this episode of Targeting AI, Achour discusses how math-based AI can be trusted more than other forms of AI because it is harder t
Shutterstock, AI image licensing and the future of human-led content
The explosion of AI in 2022 coincided with the introduction of image-generating models such as Dall-E, which were met with controversy. However, in recent years, AI companies have partnered with legacy image vendors such as Getty Images and Shutterstock. On this episode of Targeting AI, Daniel Mandell of Shutterstock explains how data licensing is changing in the age of generative AI. Mandell expl
How F2's AI Platform Transforms Private Credit and Equity
In this episode, Don Muir of AI-native private market investment platform vendor F2, discusses how AI is transforming private markets investing by automating data processing, standardizing unstructured data, and building a system of agentic workflows tailored for financial institutions. He explains the importance of AI native solutions for private credit and equity, and how F2's platform helps dec
Building the AI-Powered Enterprise: Strategies for Agentic AI Adoption
With agentic AI and generative AI, enterprises are continually looking for ways to transform their workflows. In this episode of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutner welcome Jason Olkowski of CRM and workforce automation vendor Creatio, to examine how enterprises can use agentic AI to improve decision-making within their workflows and unlock true value.
Featuri
Exploring AI Adoption and Safety for SMBs
In this episode of the Targeting AI podcast from AI Business, Shaun Sutner and Esther Shittu host Ben Schreiner from AWS to discuss the evolving landscape of AI adoption among small and medium-sized businesses (SMBs). They delve into AI safety, AI adoption by SMBs, practical use cases, choosing the right partners, managing costs, and the future of AI tools tailored for SMBs -- emphasizing responsi
Rebellions vs. Nvidia: The Inference Chip Revolution
In this episode of the Targeting AI podcast from AI Business, Shaun Sutner and Esther Shittu interview Marshall Choy of Rebellions, a South Korea-based inference chipmaker. The conversation covers Rebellions' focus on AI inference, the company’s global expansion strategy, the importance of open source in its software stack, and its chiplet architecture. Choy discusses the competitive landscape dom
How humans and AI can co-exist productively in the workplace
The future of work is humans and AI collaborating. Despite developments in which technology companies blame AI for the decision to lay off large numbers of workers, Nikhil Krishnan of C3 AI says there is still a need for a human in the loop. On the latest Targeting AI podcast from AI Business, Krishnan said the future of work will involve a pyramid-type system. At the bottom, the AI will automate
Real-Time Intelligence in the Age of Generative AI: Insights from Dataminr
For many organizations, the advent of AI has necessitated a transition from a human-centric to an intelligence- or even agentic-based approach. Real-time event, threat and risk vendor Dataminr began its transition to intelligent automation in 2018, marking the start of its AI journey. Since then, the vendor has transitioned to a more agentic and generative AI approach. In this interview, Joel Tetr
LinkedIn’s Change to its Search Engine Could Affect Your Job Search
Most people looking for a job usually spend hours scouring job search engines and LinkedIn. However, the professional network has changed the way its search engine works, shifting from a keyword-based, taxonomy-driven system to an AI-powered semantic search that understands natural language. In this podcast episode, Caleb Johnson of LinkedIn dives into how LinkedIn uses AI and large language model
AI PCs and chips: Their role in the enterprise
With the rise of generative AI and agentic AI, there has also been a push for AI PCs within the enterprise. Companies like Lenovo and Microsoft are providing enterprises with devices that help create these devices. However, there is no AI PC without AI chips. In this podcast, Michael Nordquist of chipmaker AMD discusses the evolution of AI chips and AMD's role in the rapidly changing AI landscape.
The Agentic AI Foundation and Linux Foundation on agentic AI
Agentic AI has grown rapidly in the past two years, and with that growth comes different tools that help agents work. Among those tools is the Model Context Protocol from Anthropic. In this episode of the Targeting AI podcast from AI Business, Jim Zemlin and Mazin Gilbert dive into the importance of agentic AI, the relevance of MCP, the nuances of openness in AI, and the responsibilities surroundi
AI Co-Workers and the Future of Work
The future of work is continuing to change with AI, and many agree that AI co-workers are becoming part of everyday work. However, many enterprises still find it challenging to understand the various use cases for AI, the role AI can play in enhancing productivity, and the need to approach AI implementation thoughtfully, focusing on real problems rather than succumbing to FOMO. In this conversatio
Understanding Human Impact and Safety in AI
In a special episode of the Targeting AI podcast from AI Business, host Esther Shittu interviews Christopher Campbell of Lenovo about the challenges and considerations surrounding AI governance, emphasizing the importance of human impact, safety, and accountability. They explore the evolving perspectives on bias and hallucinations in AI, the role of hardware in AI development, and the implications
How Capital One is building an AI-ready data ecosystem with creative talent
In this interview on the Targeting AI podcast from AI Business, Amy Lenander of financial services giant Capital One discusses the critical role of talent in building AI-ready data ecosystems. She explores how organizations can cultivate the right skills, develop foundational data platforms and use AI to drive business value. The interview was recorded on-site at the Gartner Data & Analytics S
Navigating the generative AI landscape with two MIT profs
In this episode of the Targeting AI podcast from AI Business, hosts Shaun Sutner and Esther Shittu engage with Abel Sanchez and John Williams from MIT to discuss the evolving landscape of generative AI. The conversation covers the motivation behind their initiative, Gen AI Global, the dynamics of their professional relationship, and the societal implications of AI technologies. They explore concep
Coinbase, crypto, blockchain and the outlook for digital payments
AI is changing digital payments, and Coinbase is trying to lead that change. Last year, the cryptocurrency exchange provider partnered with Cloudflare, AWS, Anthropic and others to create the x402 protocol, a standard that enables AI agents to make transactions online. In this conversation, Coinbase’s Dan Kim talks with Targeting AI hosts Esther Shittu and Shaun Sutner AI about how generative AI i
The Future of AI in Process Intelligence
In this episode of the Targeting AI podcast from AI Business, Manuel Haug, of Germany-based process mining vendor Celonis, discusses the intricacies of process mining and its integration with AI technologies. He explains how Celonis differentiates itself in the market, the evolution of its strategy in light of generative AI, and the practical applications of AI agents in various industries. Haug e
From Predictive to Agentic: The Future of AI in Sales
If most sales representatives spend nearly a quarter of their time on administrative tasks, they are losing opportunities to generate revenue and be productive in sales. This is why Eilon Reshef of AI sales platform vendor Gong sees AI technology as a supportive co-worker that can offload menial admin tasks from sales agents so they can focus on their new jobs. He shares insights into Gong's missi
Google AI exec says data is the next phase of generative AI
At the start of the mass popularity phase of generative AI, large language models were the star of the show. Vendors released bigger and newer models. However, the conversation has recently shifted from considering big or small models to a deep focus on data. In this episode of the Targeting AI podcast from AI Business, Yasmeen Ahmad, of Google Cloud, discusses the transformative effect of generat
Vertical AI Systems and Open Source Flexibility
Generative AI and agentic AI tools are only as good as the problem that they are used to solve. In some cases, using generic AI tools can help with non-specific issues. However, Raj Shukla, of enterprise AI platform vendor Symphony AI, says the future of AI technology will focus on vertical applications and open models. In this Targeting AI episode from AI Business, he emphasizes that open source
The Impact of the "One Rule" AI Executive Order
President Donald Trump signed an executive order last week that looks to override AI state laws in favor of a national policy. Titled "Ensuring a National Policy Framework for Artificial Intelligence," it directs the Department of Justice to establish an AI Litigation Task Force and challenge "cumbersome" state laws. It also asks the Secretary of Commerce to consider withholding federal funds from
Securing autonomous enterprise agents in the age of generative AI
In this episode of the Targeting AI podcast from AI Business, host Esther Shittu interviews Oren Michels, of 2024 startup Barndoor.ai, an AI data and access management vendor, about how to effectively secure enterprise agentic and generative AI systems. The approach is different from traditional cybersecurity paradigms designed to prevent outside intruders from doing harm within an organization's
Breaking news: AWS moves at re:Invent make the cloud giant an AI player
In this special news analysis edition of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutter interview R "Ray" Wang of Constellation Research, with Wang live from the AWS re:Invent 2025 conference in Las Vegas. Wang says AWS's new frontier AI agents represent a major step in the development of agentic AI, and other AI vendors are likely to follow AWS's lead. He also notes tha
Generative AI and Diversity: What WLDA is Doing About It
It’s no secret that generative AI has led to exponential growth in AI technology. However, one area continues to seem to be lacking. Years ago, Asha Saxena, of the World Leaders in Data and AI (WLDA) organization, attempted to shift the landscape by creating an organization that emphasizes the importance of diversity in AI and the ethical challenges organizations face when implementing AI systems
Alibaba.com B2B marketplace buys and sells with AI
In this episode of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutner interview Justin Liu of B2B platform Alibaba.com.,
discussing his extensive experience in e-commerce and the evolution of B2B sourcing in the age of AI. Liu shares insights on the complexities of B2B transactions, the innovative AI tools being implemented to enhance buyer and seller experiences, and the ra
Changing enterprises' misconceptions about AI
Some think AI is just a trend and that we are on the verge of a bubble. That is not the case for Arun Subramaniyan, of Articul8. This enterprise AI vendor offers customers a platform for developing and deploying customized generative AI applications. In this Targeting AI podcast, Subramaniyan discusses some of the misconceptions enterprises have about implementing AI technology and the significanc
Breaking news: What Nvidia's $5 trillion milestone means for AI
In this special news analysis edition of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutner discuss Nvidia's historic achievement on Oct. 29 of becoming the first company to reach a $5 trillion market valuation with R "Ray" Wang of Constellation Research. The conversation explores the implications of this milestone for enterprise AI technology, the current AI boom, and the p
Breaking News: Impact of the AWS Outage on AI Applications
In this breaking news analysis episode of the Targeting AI podcast from Informa TechTarget's AI Business, Esther Shittu and Shaun Sutner discuss the recent AWS outage that disrupted numerous websites and services, including AI applications such as widely used generative AI models from OpenAI and Anthropic. Tech analyst David Nicholson provides insights into the causes of the outage, emphasizing th
Streaming data and generative AI: Confluent's approach
In this episode of the Targeting AI podcast from AI Business, Shaun Sutner and Esther Shittu interview Sean Falconer of streaming data platform vendor Confluent. They discuss Confluent's AI strategy, the importance of real-time data management, and the integration of generative AI and multi-agent systems into business processes. Falconer emphasizes the need for high-quality data and the advantages
The Future of Patient Care: AI-First Approaches with Salesforce Agentforce
In this episode of the Targeting AI podcast from AI Business, hosts Esther Shittu and Shaun Sutner discuss the role of AI in healthcare with Madhav Thattai of Salesforce and John Oberg of Precina Health. They explore the concept of being AI-first, the integration of AI in patient care, and the impact of agentic systems on healthcare outcomes. The conversation highlights how AI can enhance clinical
Salesforce advances its agentic AI platform with Agentforce 360
In this breaking news analysis episode of the Targeting AI podcast from Informa TechTarget's AI Business, hosts Esther Shittu and Shaun Sutner discuss the latest innovations in agentic AI technology unveiled at Salesforce's Dreamforce conference in October with guest Madhav Thattai of CRM and CX giant Salesforce. The conversation covers the new Agentforce 360 platform, including hybrid reasoning,
UiPath moves from RPA to agentic AI
In this podcast, Mark Geene of robotic process automation (RPA) vendor UiPath discusses the evolution of RPA and the emergence of agentic AI. He explains how these technologies are transforming business processes, the importance of governance and compliance, and the future of work with digital workers. Geene also highlights the role of data in enabling effective AI agents and shares insights on th
CoreWeave signs $14.2 billion deal with Meta Platforms
In this special breaking news analysis edition of the Targeting AI podcast from AI Business, hosts Shaun Sutner and Esther Shittu dive into the latest developments in the AI industry with Torsten Volk, an analyst with Omdia. Both AI Business and Omdia are owned by Informa TechTarget. This episode covers AI cloud computing vendor CoreWeave's groundbreaking $14 billion AI compute deal with Meta Plat
Capital One takes on GenAI in a big way
As one of the biggest financial institutions in the U.S., Capital One isn’t running away from generative AI and agentic AI. Instead, the $490 billion company is using the technology to enhance both internal operations and customer experience. In this Targeting AI episode, the chief scientist and executive vice president at Capital One discusses some of the challenges and opportunities the financia
IBM, agentic AI and the future of enterprise tools
As a legacy organization, IBM has long been a champion for open source, especially in the age of GenAI. In this episode of Targeting AI from Informa TechTarget, Bruno Aziza, vice president of data, AI and analytics at IBM, discusses how the vendor has had to rebrand and shift in the age of GenAI and agentic AI. Aziza shares insights on talent challenges, IBM's data strategy with Watson X, and the
How Black Girls Code is Transforming Tech Diversity
When it comes to diversity, AI systems often fail. In this episode of the Targeting AI podcast, Christina Mancini, CEO of Black Girls Code, discusses the importance of inclusion in tech, the strategies Black Girls Code employs to empower girls of color, and the need for ethical considerations in AI education. Christina emphasizes the role of communities of color as creators in AI and the necessity
The future of AI chips: Cerebras’ unique strategy
In a market dominated by Nvidia H100 GPUs, Cerebras Systems seeks to develop the world's largest AI chip, the Wafer Scale Engine. In this episode of Targeting AI from Informa TechTarget, James Wang, the vendor's director of product marketing, discusses the importance of the inference market for AI technology and how the company's strategic partnerships are essential for growth. He elaborates on th
Not yet three years old, GenAI has made a dramatic impact on society, law and art
In this two-year anniversary episode of Targeting AI from Informa TechTarget, Michael Bennett discusses the rapid evolution of generative AI technology, and its implications for society, legal frameworks and creative industries. He highlights the public's growing awareness and understanding of AI, the legal challenges surrounding copyright and fair use, and the moral questions that arise from the
News Now: Trump's AI plan and its impact on tech industry and users
In this special news edition of Targeting AI from Informa TechTarget, government reporter Makenzie Holland discusses President Trump's AI action plan and executive orders aimed at promoting AI development and ensuring U.S. dominance in the AI race.
Featuring: Makenzie Holland, Informa TechTarget senior news writer
In today’s episode, senior new director Shaun Sutner and AI news writer Esther Shitt
Database vendor MongoDB embraces GenAI
In this episode of the Targeting AI podcast from Informa TechTarget, Ben Flast, of NoSQL database vendor MongoDB, discusses the company's rapid integration of generative AI technologies, including vector search and real-time updates through Atlas Stream Processing. He emphasizes the importance of community engagement and the role of agentic AI in enhancing developer productivity. The conversation
Diverse data, ethical use key to responsible AI engineering
The lack of diversity in AI systems has been an issue since the birth of the technology. In this episode of the Targeting AI podcast from Informa TechTarget, Karen Panetta discusses the importance of diversity in tech, and the ethical implications of AI. She emphasizes the need for inclusive design in engineering and AI systems, the role of digital twins in education, and the challenges of AI bias
Tech pioneer Alan Trefler of Pegasystems: GenAI added creativity, speed and scale to workflows
In this episode of the Targeting AI podcast, Shaun Sutner and Esther Ajao interview Alan Trefler, founder and CEO of Pegasystems, discussing the evolution of AI technology, particularly generative AI, and its integration into business processes. Trefler shares insights on the differences between design time and runtime applications of AI, the importance of workflow engines, and the challenges of A
Exploring Nvidia’s approach to AI factories and AI supercomputers
Nvidia's hardware strategies are powering AI technologies. Recently, networking has become the critical backbone of modern AI systems. In today’s episode, Kevin Deierling provides practical insights for enterprises looking to implement AI technologies effectively. Deierling contrasts traditional data centers with the emerging concept of AI factories, revealing how these specialized environments ar
Using GenAI and AI agents as key assets in work management
Generative AI has led to many fears about the workforce. However, for work management platform vendor Asana, GenAI and agentic AI can be effective tools in the workforce. Instead of replacing humans, AI technology can work alongside humans. Despite the potential for collaboration, not all tasks require the use of AI technology.
Featuring: Saket Srivastava, CIO of work management platform, Asana.
I
Evolution of Grammarly AI and the future of work
As an AI writing assistant, Grammarly has used AI technology from its inception. The popularity of large language models has led to a shift in which the writing assistant vendor moved from natural language processing to including large language models to help enterprise employees improve their writing as they work. This has led Grammarly to see a possibility in the part it can play in transforming
Responsible AI and the need for AI safety standards
A key truth about AI is that regulation has long lagged innovation. However, this has not removed the responsibility of enterprises to deploy AI systems responsibly or for AI vendors to create responsible systems. What are the key metrics to understanding a safe AI system?
Featuring: Stuart Battersby, CTO at Chatterbox Labs, vendor of a quantitative AI risk metrics platform, and Danny Coleman, CEO
Resilient AI: Siemens' journey into industrial AI and generative technologies
Industrial AI is less familiar than consumer AI, but represents a critical and growing sector within AI’s influence. What unique AI applications are surfacing in this area?
Featuring: Olympia Brikis, director of Industrial AI research at Siemens
In today’s episode, we’ll cover…
Understanding Industrial AI and its distinctions from consumer AI
AI and, specifically, generative AI adoption at Siemen
AWS developing high-performing autonomous AI agents
Traditional, generative, agentic—in the past couple of decades, AI metamorphosed into an indisposable tool for enterprises wanting to streamline their processes and improve their impact. In this episode, we dive into the different types of AI, best practices for implementation, and the challenges faced in the industry.
Featuring: Deepak Singh, Vice President at AWS
In today’s episode, we’ll cover…
How the legal profession can benefit from AI technology
In the couple of years since the popularization of ChatGPT, generative AI technology has quickly taken hold in the legal profession.
It has backfired in some cases, such as when an attorney filed a legal brief written with ChatGPT's help and the AI platform hallucinated some of the cases in the brief. That case and others have led some law firms to block general access to AI tools. Most recently,
Good data strategy is needed for GenAI
Without a good data strategy, generative AI becomes unusable technology for enterprises.
This was true when ChatGPT started becoming popular, and it is even more accurate years later.
The most recent example is the AI Chinese startup DeepSeek. While most AI cloud providers like Google, AWS and Microsoft now offer the DeepSeek-R1 reasoning model, many AI experts believe that enterprises might be he
Multilingual LLM revolves around synthetic data
While some vendors are working to ensure large language models become better at reasoning, other AI vendors are making them compatible in multiple languages.
Writer is a provider of a full-stack generative AI platform for enterprises.
While the vendor provides a generative AI platform that enterprises can use to build generative AI capabilities into their workflows, it also offers a family of LLMs
Cisco generative AI strategy hinges on CX and agents
The contact center world is a difficult place, packed with frustration and stress.
Digital communications giant Cisco sees its mission as easing that experience for human contact center workers and the customers they deal with every day.
For that undertaking, the vendor has seized on generative AI and agentic AI as the vehicles to both automate and augment the work of humans, in essence, smartenin
Box content management generative AI route is model-agnostic
Box has been in the AI game for a long time.
But when generative AI mushroomed into a transformative force in the tech world, the cloud content management vendor opted to turn to specialists in the new and fast-growing technology to power the arsenal of tools in its platform.
"We've been doing AI for many years. But the really cool thing that happened … AI got to the point where the generative AI
Autonomous AI agents on the rise
This is the year of AI agents.
The last few months of 2024 brought much talk about and expectations for AI agents that can operate autonomously and semi-autonomously. Many vendors have capitalized on the enthusiasm to introduce new agentic products: Salesforce came out with Agentforce, and Microsoft introduced Copilot agents.
With 2025 here, questions about whether the momentum on agents will cont
Moveworks uses AI to grow its employee automation platform
The AI application startup, which was founded in 2016 and was valued at more than $2.1 billion in 2021, uses a reasoning engine to help employees search for information across the enterprise.
Since its inception, a key ingredient in the company's success has been AI and generative AI technology.
"We were the first company after Google to deploy BERT in production," said co-founder and president Va
Oracle generative AI approach based on Cohere, Meta models
When generative AI became the next big thing in tech, enterprise software giant Oracle bet heavily on a startup to provide it with foundation and large language models rather than scramble to develop its own.
That then-fledgling company was Cohere. Founded in 2019, the generative AI vendor raised $270 million in a Series C round, and its investors included Oracle, Nvidia, Salesforce Ventures, and
Creating a clean generative AI data set with Getty Images
At the beginning of the wave of generative AI hype, many feared that generative models would replace the jobs of creatives like artists and photographers.
With generative AI models such as Dall-E and Midjourney seemingly creating unique works of art and images, some artists found themselves at a disadvantage. Some say the generative systems took their artwork, copied it and used it to produce thei
AI industry could see regulation rollback under Trump
President-elect Donald Trump during his election campaign offered clues about how his administration would handle the fast-growing AI sector.
One thing is clear: AI, to the extent that it is regulated, is headed for deregulation.
"It's likely going to mean less regulation for the AI industry," said Makenzie Holland, senior news writer at TechTarget Editorial covering tech regulation and compliance
Exploring the role of AI in beauty and haircare
When Candace Mitchell was young, she discovered a love for computers and haircare. Her interest in technology led her to study coding in high school, leading her to build websites.
Meanwhile, she also considered going to cosmetology school.
She found a middle ground in beauty technology, later becoming co-founder and CEO of Myavana, a Black-owned beauty technology vendor. Myavana uses AI technolog
Closing the gap between open source and closed AI models
Open source AI models are closing the gap in the debate between open and closed models.
Since the introduction of Meta Llama generative AI models in February 2023, more enterprises have started to run their AI applications on open source models.
Cloud providers like Google have also noticed this shift and have accommodated enterprises by introducing models from open source vendors such as Mistral
Enterprise adoption of generative AI is accelerating
Nearly two years after the mass consumerization of generative AI with the introduction of ChatGPT, the technology is now moving from experimentation to implementation.
A recent survey by TechTarget's Enterprise Strategy Group found that generative AI adoption is growing. The analyst firm surveyed 832 professionals worldwide and found that adoption has increased in the last year.
"We're in the acce
Google head of product on generative AI strategy
As one of the top cloud providers, Google Cloud also stands at the forefront of the generative AI market.
Over the past two years, Google has been enmeshed in a push and pull with its chief competitors -- AWS, Microsoft and OpenAI -- in the race to dominate generative AI.
Google has introduced a slate of new generative AI products in the past year, including its main proprietary large language mod
AT&T's David C. Williams on how generative AI will force diversity in AI systems
The growth of generative AI has put diversity front and center.
In the last year, there have been concerns that GenAI systems such as ChatGPT and Google Gemini are not trained with enough diverse data sets.
For instance, the introduction of the Lensa app two years ago allowed people of color to generate avatars of themselves. Concerns were raised, however, after some users said Lensa's generated
Generative AI fuels growth of online deepfakes threatening organizations and election integrity
The growth of deepfakes in the past few years is a threat to not only organizations but also the U.S. general election in November.
Information security vendor Pindrop saw a sharp rise in deepfakes in the first few months of the year compared to the previous year.
Deepfakes of Vice President Kamala Harris, former President Donald Trump, President Joe Biden and state-level candidates have circulate
Examining the tech stances of Kamala Harris and Donald Trump, plus J.D. Vance
Democratic presidential candidate Kamala Harris is a product of two decades of California politics who has longstanding ties to the tech and AI communities in her home state.
But in her role as President Joe Biden's vice president during the past four years, Harris was tasked with overseeing Biden's executive order on AI, with its emphasis on government regulation. And it was she who hosted leader
A year in review with the Targeting AI podcast
For the past year, the Targeting AI podcast has explored a broad range of AI topics, none more than the fast-evolving and sometimes startling world of generative AI technology.
From the first guest, Michael Bennett, AI policy adviser at Northeastern University, the podcast has focused intently on the popularization of generative AI, while also touching on traditional AI.
While that first episode c
AWS GenAI strategy based on multimodel ecosystem, plus Titan, Q and Bedrock
AWS is quietly building a generative AI ecosystem in which its customers can use many large language models from different vendors, or choose to employ the tech giant's own models, Q personal assistants, GenAI platforms and Trainium and Inferentia AI chips.
AWS says it has more than130,000 partners, and hundreds of thousands of AWS customers use AWS AI and machine learning services.
The tech giant
Walmart uses generative AI for payroll, employee experience
The biggest global retailer sees itself as a tech giant.
And with 25,000 engineers and its own software ecosystem, Walmart isn't waiting to see how GenAI technology will play out.
The company is already providing its employees -- referred to by the retailer as associates -- with in-house GenAI tools such as the My Assistant conversational chatbot.
Associates can use the consumer-grade ChatGPT-like
Lenovo stakes claim to generative AI at the edge
While Apple garnered wide attention for its recent embrace of generative AI for iPhones and Macs, rival end point device maker Lenovo already had a similar strategy in place.
The multinational consumer products vendor, based in China, is known for its ThinkPad line of laptops and for mobile phones made by its Motorola subsidiary.
But Lenovo also has for a few years been advancing a “pocket to clou
The importance of open source in GenAI
The rise of generative AI has also brought renewed interest and growth in open source technology. But the question of open source is still "open" in generative AI.
Sometimes, the code is open -- other times, the training data and weights are open.
A leader in the open source large language model arena is Meta. However, despite the popularity of the social media's giant's Llama family of large lang
A vision of an AI future that may not include humans
In intellectual tech circles, a debate over artificial general intelligence and the AI future is raging.
Dan Faggella is in the middle of this highly charged discussion, arguing on various platforms that artificial general intelligence (AGI) will be here sooner than many people think, and it will likely take the place of human civilization.
"It is most likely, in my opinion, that should we have
Salesforce open model AI strategy aims for trust, automation
Salesforce was an early adopter of generative AI, seizing on large language model technology from OpenAI to integrate into its own applications.
But the CRM and CX giant quickly evolved an open model strategy. It now gives customers access to multiple third-party LLMs while providing its own AI trust layer to try to ensure that Salesforce users can safely rely on AI-generated outputs.
Jayesh Govin
Examining developers' perception of AI tools at GitHub
The explosive popularity of generative AI has been accompanied by the question of whether developers are finding great uses for the new technology.
While the hype around GenAI has grown, the perception of its usefulness for developers has changed.
"Developers are eager to kind of embrace AI more into their complex tasks, but not for every part, and they're not open to the same degree," GitHub rese
Musicians and the fight for fairness in the age of GenAI
The growth of generative AI technology has led to concerns about the data AI technology companies use to train their systems.
Authors, journalists and now musicians have accused generative AI vendors of using copyrighted material to train large language models.
More than 200 musicians signed an open letter released Tuesday by the Artists Rights Alliance calling on AI developers to stop their "assa
