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Why most enterprise AI agents never reach production and how Databricks plans to fix it
Databricks Agent Bricks automates enterprise AI agent optimization and evaluation, eliminating manual processes that block production deployments.
“They were flying blind, they had no way to evaluate these agents,” Hanlin Tang, Databricks’ Chief Technology Officer of Neural Networks, told VentureBeat. “We help get the data into the platform, and then you can do ML, BI and AI analytics,” Bilal Aslam, Senior Director of Product Management at Databricks told VentureBeat. Rather than requiring manual configuration and tuning, Agent Bricks incorporates multiple research techniques automatically: TAO, in-context learning, prompt optimization and fine-tuning.
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