Why Halliburton's SVP of Technology Says Don't Start With AI | Sriram Srinivasan, Halliburton

Halliburton SVP of Global Technology Sriram Srinivasan has spent 15 years at the intersection of energy and deep technology — and his advice might surprise you. Don't start with AI. Start with your use cases, your data, and your domain context. In this conversation, Sriram shares how Halliburton is using Databricks and Genie to handle data at a scale most companies can barely imagine — hundreds of hydraulic fracturing jobs generating 100 gigabytes of data each, every single day — and what it means to move AI from personal productivity to a genuine coworker in an engineering team. For any executive in an industrial or asset-heavy business, this is the clearest roadmap you'll find for scaling AI the right way. About the Data + AI Executive Fast 5 series: Five questions. Five answers. Fast takeaways you can apply now — from data and AI executives. ✔️Try Databricks for free: https://dbricks.co/41ha0L7 ✔️ Hear more from our customers: https://www.databricks.com/customers ✔️ Read the Databricks blog: https://www.databricks.com/blog/category/company/customers ✔️ Learn more about Halliburton halliburton.com 👉 Get Social LinkedIn ► https://www.linkedin.com/company/databricks/ Instagram ► https://www.instagram.com/databricksinc/ Twitter ► https://twitter.com/databricks 00:00 — Halliburton’s core role in oil and gas extraction 00:20 — Why companies should prioritize use cases before adopting AI 00:41 — Why organizing data first is crucial for scaling AI 01:13 — How Halliburton leverages Genie to analyze massive data streams 02:11 — The shift from personal productivity to physical AI in operations 02:45 — The future of AI agents performing design engineering tasks