The AI narrative has mostly been dominated by model performance on key industry benchmarks. But as the field matures and enterprises look to draw real value from advances in AI, we’re seeing parallel research in techniques that help productionize AI applications. At VentureBeat, we are tracking AI research that can help understand where the practical …
Four AI research trends enterprise teams should watch in 2026 Read More »
When Google released its newest AI image model Nano Banana Pro (aka Gemini 3 Pro Image) in November, it reset expectations for the entire field. For the first time, uses of an image model could use natural language to generate dense, text-heavy infographics, slides, and other enterprise-grade visuals without spelling errors. But that leap forward …
For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded as successive waves introduced NoSQL document stores, graph databases, and most recently vector-based systems. In the era of agentic AI, data infrastructure is once again in flux — …
Six data shifts that will shape enterprise AI in 2026 Read More »
Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at machine speed. AI agents are the fastest-growing and least-governed class of these machine identities — and they don’t just authenticate, they act. …
Legacy IAM was built for humans — and AI agents now outnumber them 82 to 1 Read More »
At 77-year-old promotional products company Gold Bond Inc., CIO Matt Price knew generative AI adoption wouldn’t come from rolling out a chatbot. Employees needed AI embedded into the work they already hated doing: messy ERP intake, document processing, and call follow-ups. Instead of pitching benchmarks, Price built a small group of “super-users” to surface Gold …
Why AI adoption fails without IT-led workflow integration Read More »
Facebook and Instagram parent company Meta’s agreement to acquire Manus for more than $2 billion — announced last night by both companies and reported in The Wall Street Journal — marks one of the clearest signals yet that large tech platforms are no longer just competing on model quality, but on who controls the execution …
Why Meta bought Manus — and what it means for your enterprise AI agent strategy Read More »
Hot on the heels of its new $140 million Series D fundraising round, the multi-modal enterprise AI media creation platform fal.ai, known simply as “fal” or “Fal” is back with a year-end surprise: a faster, more efficient, and cheaper version of the Flux.2 [dev] open source image model from Black Forest Labs. Fal’s new model …
With the ecosystem of agentic tools and frameworks exploding in size, navigating the many options for building AI systems is becoming increasingly difficult, leaving developers confused and paralyzed when choosing the right tools and models for their applications. In a new study, researchers from multiple institutions present a comprehensive framework to untangle this complex web. …
New framework simplifies the complex landscape of agentic AI Read More »
Presented by Microsoft and NVIDIA As the world’s leading platform providers and champions for advancing AI globally, NVIDIA and Microsoft continue to deliver unequaled value for organizations investing in and deploying AI. The companies’ collaborative efforts at the 2025 Microsoft Ignite conference offered tangible proof, introducing practitioners and decision-makers to new and expanded AI infrastructure …
Inside Microsoft Ignite: How Microsoft and NVIDIA are redefining the AI stack Read More »
The drumbeat for AI is deafening. We’re surrounded by a mix of hype, fear and intense pressure to do something with this technology that seems to be advancing at the speed of light. For CIOs and enterprise technology leaders, the path forward can seem murky and fraught with the risk of missteps. But I believe …
Why CIOs must lead AI experimentation, not just govern it Read More »