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When initially experimenting with LLMs and agentic AI, software engineers at Notion AI applied advanced code generation, complex schemas, and heavy instructioning.  Quickly, though, trial and error taught the team that it could get rid of all of that complicated data modeling. Notion’s AI engineering lead Ryan Nystrom and his team pivoted to simple prompts,…

Four in 10 enterprise applications will feature task-specific AI agents this year. Yet, research from Stanford University’s 2025 Index Report shows that a mere 6% of organizations have an advanced AI security strategy in place. Palo Alto Networks predicts 2026 will bring the first major lawsuits holding executives personally liable for rogue AI actions. Many…

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…

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 —…

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…

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….

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…

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….