TFiR

LLMs invent wrong answers without AI agent metadata. Raviv Levi of CData explains how metadata and context ...

Agentic AI fails when intent and outcome diverge. Kamal Hathi of Cisco Splunk explains the guardrails, measurement ...

Self-service databases need clear owners for access control and cost. Oliver Wolf of anynines shows how Klutch ...

Can Claude or ChatGPT run MCP data pipelines? Ian Alton of Airbyte explains how Airbyte MCP builds, ...

Browser extension governance for AI needs written rules plus technical enforcement, explains Steve Winterfeld, Advisory CISO at ...

AI agents lose progress and retry inconsistently after crashes. Durable execution fixes it by journaling every step, ...

Mainframe open source sustainability, observability, and AI integration are converging. John Mertic of the Linux Foundation explains ...

MCP latency is stalling AI agent workflows. Du'An Lightfoot of Akamai explains how async MCP execution unblocks ...

Most AI features ship and go unused. Rakesh Jayaprakash of ManageEngine explains how to prioritize AI by ...

Vendor lock-in in data infrastructure forces costly re-architecture when vendors reprice. Bianca Lewis of OpenSearch explains why ...

Failover testing is the only way to know your HA/DR protects against downtime, says Aidan Macklen of ...

AI agents overspend on tokens when routed through raw APIs. Jean Lafleur of Airbyte shows customers achieving ...

AI model weights and enterprise data stay encrypted at runtime on untrusted infrastructure. Anand Kashyap of Fortanix ...

Open source maintainers targeting mainframe can now apply for free access to z/Linux and z/OS test infrastructure ...

Unsure what enterprise AI readiness means? Romanus Prabhu Raymond of ManageEngine explains the five managed elements behind ...