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fromComputerworld
2 weeks ago

Cleanlab CEO: Agentic AI won't really gel until 2027

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.
Artificial intelligence
Artificial intelligence
fromInfoQ
2 weeks ago

Achieving Precision in AI: Retrieving the Right Data Using AI Agents

Achieving precision in generative AI is critical for safely moving prototypes to production to avoid misinformation, legal liability, and reputational damage.
Artificial intelligence
fromInfoQ
3 weeks ago

AI Assisted Development: Real World Patterns, Pitfalls, and Production Readiness

AI production requires architecture, process, accountability, evaluation pipelines, and cultural change beyond model performance for sustainable software delivery.
Tech industry
fromComputerWeekly.com
1 month ago

Forget training, find your killer apps during AI inference | Computer Weekly

Most organizations will not train AI models in-house; they will focus on production inference, fine-tuning, data curation using RAG, vector databases, prompts, and co-pilots.
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