xAI has launched Grok Business and Grok Enterprise, positioning its flagship AI assistant as a secure, team-ready platform for organizational use. These new tiers offer scalable access to Grok’s most advanced models — Grok 3, Grok 4, and Grok 4 Heavy, already among the most performant and most cost-effective models available in the world — …
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, …
Why Notion’s biggest AI breakthrough came from simplifying everything Read More »
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 …
Seven steps to AI supply chain visibility — before a breach forces the issue Read More »
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 …