Why Halliburton's SVP of Technology Says Don't Start With AI | Sriram Srinivasan, Halliburton
Halliburton's SVP advises: start with use cases, not AI, and get data ready first.
“Don't start with AI. Instead, start with use cases where you want to see better results.”— Aravind Srinivas
Halliburton's SVP of Technology argues that most enterprise AI failures stem from diving into AI before data and domain context are organized, drawing on the company's experience generating 100GB/day per hydraulic fracturing site across ~100 simultaneous global projects. He outlines a three-stage AI maturity curve for industrial firms: personal productivity, AI-as-colleague, then physical AI operating equipment. The talk is notable as a senior industrial operator explicitly pushing back on AI hype with a data-first framework.