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AI ROI Demands Better Business Case Discipline
3+ day, 12+ hour ago (377+ words) Synopsis: AI ROI is becoming harder to measure as organizations move from broad experimentation to practical deployment. This Techstrong AI Leadership Insights episode features Mike Vizard and Nithin Mummaneni, founder and CEO of Infinity Loop, in a discussion about why…...
Buzz Is Right About One Thing: AI Agents Need a Place to Work, But Enterprises Need More
4+ day, 4+ hour ago (91+ words) A developer workspace works because it owns the context, while enterprise work rarely does. Many meaningful business processes eventually cross applications, cloud providers, business units, organizations, and identities. Once that happens, the problem is no longer simply collaboration inside a…...
The Enterprise AI Token Reckoning Isn't About Model Prices. It's About Architecture.
1+ week, 2+ day ago (1488+ words) For the past few years, enterprises have ploughed ahead with an “AI everywhere” approach. Much of this was driven by performance anxiety as every organization wanted to demonstrate successful adoption that was promised to be a fast track to innovation....
Trust in AI Is Eroding. Here’s How Enterprise Leaders Can Restore It
2+ week, 2+ day ago (662+ words) The __Secure-ROLLOUT_TOKEN cookie is used by YouTube to manage the phased rollout of new features and updates. This cookie helps assign users to specific test groups for experimental features, such as changes to the user interface or video player.ntly not…...
The AI Cost Crisis: Why Observability is the Missing Layer for AI at Scale
2+ week, 5+ day ago (397+ words) In 2025, API reasoning token consumption per organization increased 320x year-over-year as more enterprises were scaling AI and the intensity of their usage increased. This consumption is only increasing as enterprises start to implement AI agents, which consume up to 1,000x more tokens…...
Why Most AI Agent Deployments Fail, and What Actually Works
2+ week, 6+ day ago (586+ words) TL;DR — Key Takeaways Most AI agent deployments don’t fail because of the model. They fail because of everything around it: The wrong workflow chosen first, the metrics that never got defined, the governance nobody built. I’ve watched this play…...