Why General Purpose AI Agents Are Beating Specialized Ones in the Enterprise
Companies are over-investing in specialized AI agents while missing the bigger opportunity: general purpose agents connected ...
Why AI Factory Deployments Keep Failing — And How RackN Is Fixing That
Rob Hirschfeld, CEO of RackN, breaks down the real complexity behind AI factory deployments — from bare ...
Agentic AI Moves to Production: SOUTHWORKS CTO on Governance, Cost, and Standardization
A survey of 625 cloud architects reveals that nearly all see value in agentic AI—but governance, cost, ...
Which LLM Wins at Real Coding? OpenHands Index Reveals Cost vs. Performance Trade-offs
Graham Neubig breaks down the OpenHands Index results, revealing which LLMs deliver the best performance for software ...
Why 95% of Enterprise AI Projects Fail — And How Portal26 Is Fixing It
Portal26 CEO Arti Raman breaks down why enterprise AI investments keep failing and how her company's three-pillar ...
How to Close the Operational Gap in Apache Iceberg Pipelines | Christian Romming, Etleap
Apache Iceberg defines table behavior, not pipeline operations. Etleap's Christian Romming discusses closing the operational gap with ...
MCP Joins Linux Foundation: Why Mass Adoption Just Killed Competing AI Protocols | TFiR
Randy Bias, VP of Technology & Strategy at Mirantis, explains why MCP joining the Linux Foundation through ...
Future-Proofing AI: Why MCP Standards Beat Custom Agents in Rapidly Evolving Tech | TFiR
Randy Bias, VP of Technology & Strategy at Mirantis, explains how to future-proof AI implementations when technology ...
Why Custom AI Agents May Be Unnecessary: Mirantis’ MCP Server Factory Approach | TFiR
Randy Bias, VP of Technology & Strategy at Mirantis, challenges the custom AI agent approach. Learn why ...
Why Production Operations—Not Coding—Is the Real Killer App for AI Agents
While everyone focuses on AI coding assistants, Randy Bias reveals the bigger opportunity: production operations. Mirantis ...