Analytics and Data Science News for the Week of February 27; Updates from Alteryx, Databricks, Power BI & More solutionsreview.com Go to Source Author:
The first time my team shipped an agent into a real SaaS workflow, the product demo looked perfect. The production bill did not. A small percentage of sessions hit messy edge cases, and our agent responded the way most agents do: it tried harder. It re-planned, re-queried, re-summarized and retried tool calls. Users saw a…
The conversation around AI agents has focused heavily on reasoning. Less attention has gone to coordination. Enterprises that have been experimenting with agents are struggling to manage agents that share context and operate across live business systems without stepping on each other. Running a single agent on streaming data is manageable. Running several agents across…
Global Business Resilience Faces Physical Risk Crossroads as Cyber Defenses Strengthen Worldwide Risk & Insurance Go to Source Author:
Florida Crystals puts process intelligence at the heart of its operations cio.com Go to Source Author:
In user-facing distributed systems, latency is often a stronger signal of failure than errors. When responses exceed user expectations, the distinction between “slow” and “down” becomes largely irrelevant, even if every service is technically healthy. I’ve seen this pattern across multiple systems. One incident, in particular, forced me to confront how much production behavior is…
