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My first VentureBeat story was the 'Woodstock of AI.' My last is Nvidia buying Hugging Face for $12.9 billion.
Today is my last day as Editorial Director at VentureBeat.
Data
Pipelines, architecture, and governance for AI-ready systems. This coverage follows real-time data infrastructure, vector databases, and the retrieval and quality problems enterprises hit while building for AI.
Michael Nuñez
Enterprises put non-Nvidia chips 14 points ahead of Nvidia's next-gen GPUs on their evaluation lists
39.4% of enterprises plan to evaluate non-Nvidia AI accelerators, showing a shift in infrastructure strategy and increased interest in diverse options.
Rob Strechay
Cohere Parse 5 loses the benchmark on points. It wins on cost per page.
Cohere's Parse 5 model balances cost and structure, offering $1.50 per 1,000 pages for efficient document parsing without sacrificing essential layout.
Sean Michael Kerner
85% of companies burned by an AI mistake are racing to cut the humans who might catch the next one
New VB Pulse Research traces the pattern back to a surprising cause — deployment maturity, not recklessness.
Carl FranzenSubscribe to get latest news!
Deep insights for enterprise AI, data, and security leaders
Enterprises with AI context layers report agent failures at more than twice the rate of those without one
A governed context layer is supposed to stop AI agents from confidently getting things wrong. New VB Pulse research shows the opposite: it's what makes the failure visible.
Sean Michael Kerner
Partner Content
How Heidi built production-ready AI for healthcare at global scale
Presented by MongoDB
Skan AI raises $63 million betting that watching how employees actually work is the missing layer of enterprise AI
Skan AI raises $63M to refine its platform for mapping enterprise workflows, tackling the gap between documented processes and real-world execution.
Michael Nuñez
Partner Content
Token-maxxing is dead. Agentic memory is what comes next.
Agentic memory, with semantic search and access control, is redefining AI architecture, making generative models more efficient and cost-effective.
Pete Johnson, MongoDB
Tencent's Team Memory shares AI agent memory across a team — with no governance yet for when it's wrong
Most AI agent memory tools so far help one agent remember more in one session. Tencent's Team Memory is built for a whole team to share the same context — and inherit the same mistakes.
Sean Michael Kerner
How is your enterprise tracking AI agent telemetry? Groundcover thinks it should never leave your cloud
groundcover believes that opportunity lies in combining customer-controlled infrastructure, automatic telemetry collection and AI-assisted operations into a platform
Carl Franzen
57% of enterprises traced a wrong AI answer to missing business context — Credible bets portable, open-source semantic code beats proprietary metadata
Credible's platform runs on Malloy, an open-source semantic language built at Google — designed so enterprises can take their AI context with them, no matter what they buy next.
Sean Michael Kerner
AI agents aren't confidently wrong because of bad context — they're wrong because of bad data engineering
Vendors are racing to fix AI's confidently-wrong-answer problem at the context layer. The actual failure sits one level below, in the data pipeline itself.
Junaid Effendi