#ai-production

#ai-production

In the past decade, we've seen two major advances in software development: cloud-native architecture and artificial intelligence. The first redefined how we build, deploy, and manage applications, and the second is becoming a mainstream utility. Now, the two are converging, prompting developers to reevaluate both their skill sets and architectural strategies. This convergence isn't just future talk. It's today's competitive reality.

Tech execs pushing to get agentic AI projects into production will have to surmount complicated challenges to prevent their efforts from failing, according to the CEO of a San Francisco-based AI startup. Companies need to establish a roadmap, outline deliverables, and experiment to achieve successful project execution, Curtis Northcutt, Co-founder and CEO of Cleanlab, said in an interview last week with Computerworld. "The moment that these enterprises and these CIOs take a break or the moment that you think, 'Oh, we finally got it figured out' - that's the moment you fall behind," he said.