The report also highlights the rise of ‘Agents for Every Workflow’, where multiple agents collaborate to run end-to-end processes – from onboarding to procurement to financial reconciliation. These ...

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.

On the first day of Microsoft Build 2026 in San Francisco, Microsoft announced the public preview of Azure HorizonDB, a fully managed PostgreSQL-compatible database rebuilt from the ground up for ...

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can ...

Dell Technologies World 2026 keynote: why time to token and cost per token are now the essential metrics for enterprise AI ...

Dell predicts up to $4 trillion in AI infrastructure investment by 2030, with 67% of AI workloads are already run outside the ...

Good afternoon, and thank you for joining us on Snowflake's First Quarter Fiscal 2027 Earnings Call. Joining me on the call today a ...

I am a software engineer. But, there is one thing still missing from my profile: coding. I asked ChatGPT to prepare a ...

The IT teams getting the most out of AI agents right now are the ones who did the unglamorous work of mapping their processes ...

AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...