Imagine a world where AI agents, tasked with critical business decisions, consistently miss the mark due to generic evaluation systems that fail to grasp the nuances of specific industries or compliance needs. This has been a pressing challenge for enterprises deploying AI into high-stakes
What if the secret to unlocking AI's full potential lies not in cutting-edge algorithms, but in the unseen layers of data context? Snowflake, a powerhouse in cloud data warehousing, has made a game-changing move by acquiring Select Star, a metadata specialist based in San Francisco. This strategic
A Search Box That Starts The Work A routine query now triggers summaries, proposes next steps, and spins up multi‑step workflows that reach across systems many teams rely on every day, collapsing the distance between a question and a result that actually moves work forward. That shift arrived when
A price cut that changes the stakes: What does a two-thirds reduction on a flagship model signal to enterprise buyers? Does a $5-per-million input token price make a premium model a default choice for production workloads when budgets are tightening, audit flags are rising, and engineering teams
Supply chains no longer wait for a morning dashboard, and finance closes now refuse to shuffle between spreadsheets, emails, and approvals because autonomous software agents have started to plan, negotiate, and execute across systems while humans supervise exceptions and tune policy instead of
Enterprises spent the last cycle chasing model benchmarks, yet the most successful teams quietly shifted focus to the one lever that consistently moves real outcomes: engineering the context that models use to think, decide, and act in the flow of work. This roundup gathers perspectives from CIOs,
