AI, Meta
Digest more
The AI project lessons are boiling over - but so is the agentic AI keynote hyperbole. How will customers find their way? Grab your beverage of choice, and have a look at my spicy review of what's working on agentic AI projects, and what's not. I guarantee ...
As businesses get used to using generative AI tools, attention is quickly turning to agentic AI. These systems are designed to plan tasks, interpret information and take action within defined guardrails. In theory, this moves AI from a tool that assists ...
As organizations move from AI assistants to AI agents capable of planning and executing entire workflows, they must scale governance alongside autonomy.
Lead story - Getting real about agentic AI projects - what's working, and what's not? My editorial self-challenge: boil down a year's worth of research/dialogue on AI project success (or lack thereof) into one post. And do it for an audience that must make ...
Gartner predicts that over 40% of agentic AI projects will be canceled by 2027, driven by poor human decision-making rather than technical flaws. Many organizations are rushing to implement AI agents without clear strategies, sufficient governance, or ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. There's a new agentic AI platform other than OpenClaw. It's called Hermes. (Photo by Qin Zihang/VCG via Getty Images) Agentic systems have left ...
Not all "agentic AI" tools are truly agentic systems. Poor prompts and rogue agents can cascade into failures. Focus on measurable outcomes, not hype or ambition. Imagine you're a chief executive. Your AI strategy task force has just presented you with two ...
Not sure when to use automation vs AI agents or agentic AI? This guide helps enterprise teams choose based on control, risk, and impact. Traditional automation follows rigid, predefined rules to handle repetitive tasks. Modern AI agents use large language ...
