AI & Enterprise

Enterprise AI shifts focus from performance to cost

Cutting-edge AI models can solve complex problems but may be inefficient for routine corporate work, a Databricks executive said. He cited invoice error detection, where top models may correct numbers rather than flagging issues for follow-up. He said advanced models can be strong at coding yet lag in data engineering. Companies are increasingly using smaller open-source models fine-tuned with reinforcement learning to lower costs. Interest in Alibaba Cloud’s Qwen is high, but regulation and compliance limit use.

AI & Enterprise

Tech Insight: Developing AI models is not that hard

Andreessen Horowitz partner Martin Casado said AI innovation now depends less on genius and more on the ability to assemble data and computing power. He said building AI models may be easier than many think as well-funded teams outside elite backgrounds produce strong models. Casado said the pretraining phase for foundation models is largely over and expects reinforcement learning to drive the next stage, while business models for major AI developers remain uncertain.