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databox

Why AI Agents Need a Semantic Layer (and What That Actually Means in 2026)

May 29, 2026 By Miha Pavlinek In Databox
Everyone is racing to put an AI agent on top of their data. Almost nobody is asking whether the agent can be trusted to act on what it sees. That is the wrong order. And the way most teams are trying to fix it — bigger context windows, more reasoning, another eval — is also wrong. The generative model stopped being the hard part of agentic analytics months ago. Wiring an LLM to a warehouse is a weekend project.
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ably

AI agent streaming in action: barge-in, human handover, and session continuity

May 29, 2026 By Madeleine Quinn In Ably
You're mid-conversation with an AI support agent. You've explained the problem, the agent is halfway through a response, and the connection drops. When you reconnect, the response is gone. You type the same question again. The agent asks the same clarifying questions again. Three minutes of context, gone. Not because the model forgot it, but because the delivery layer stored nothing.
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The Big AI Lie

May 28, 2026 By ThoughtSpot In ThoughtSpot
Shub Agarwal (Founder of the AI Trust Lab at USC) flips the script. Stop over-investing in massive data overhauls. Instead, reverse your approach: start with a brutal business problem, pull only the specific data needed to solve it, and build incrementally. Chief Data & AI Strategy Officer Cindi Howson agrees that true value comes from scaling immediate business impact, not waiting for a flawless architecture that will never arrive.
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ClearML

When AI Infrastructure Meets Enterprise Data: ClearML on the Dell AI Data Platform

May 28, 2026 By Adam Wolf In ClearML
Dell Technologies has published a validated integration of ClearML with the Dell AI Data Platform (AIDP), pairing ClearML’s AI infrastructure capabilities with Dell’s enterprise-managed storage and search engines. The result is a reference architecture that lets AI teams keep moving fast while platform teams keep the data foundation enterprise-grade. Here is what the integration does, why it matters, and where it fits.
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InsightSoftware

Why Healthcare Organizations Need Governed AI Analytics

May 28, 2026 By InsightSoftware In InsightSoftware
For healthcare organizations, AI governance is a must-have that can’t be ignored. To safeguard sensitive patient information, healthcare is subject to a variety of different regulations, for example HIPAA in the United States and GDPR in the European Union. As healthcare organizations implement AI, it brings a balance of efficiencies and risks.
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perforce

Perforce P4 vs Git for AI Coding Agents: Why Parallel Development Hits a Merge Wall

May 28, 2026 By Perforce In Perforce
A few months ago, a CTO I respect posted on LinkedIn that he was thinking about going back to Perforce P4 or SVN. He runs a modern engineering org and uses Git. The trigger was that his AI coding agents were stomping on each other’s changes faster than his developers could reconcile them. That post isn’t an outlier. It’s an emerging pain point in AI-driven workflows.
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