Enterprise AI needs context and control to scale says Databricks' Simon Davies
India, Nov. 10 -- Enterprises are building AI agents, but moving them into production demands more than a capable model. Agents need reliable business context, controlled access to systems, and economics that hold up as usage grows.
For Simon Davies of Databricks, these requirements are becoming central to enterprise AI adoption across India and the wider Asia-Pacific and Japan (APJ) region. He identifies four priorities: context, control, choice, and cost.
In an interview with Dataquest, Simon Davies, SVP & GM of Asia Pacific & Japan, discusses where deployments are making progress, how Indian customers are influencing Databricks' product development, and why greater autonomy requires stronger evaluation. He also explains how agentic a...
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