The initial contribution to the company was the concept of forward deployed engineering, inspired by the efficiency of French restaurants. It involves computer scientists interacting with customers to understand their needs and improve the product. This hybrid role combines product management, customer success, and engineering. As the company grew, they focused on customer interaction, technology, and creating value by working backwards from customer problems. The accountability function became based on whether they improved the lives of customers rather than meeting technical specifications.
Can frontiers as high-stakes as next-generation, AI-enabled defense depend on something as mundane as data integration? Can "large language models" work in such mission critical applications? In this episode of No Priors, hosts Sarah Guo and Elad Gil are joined by Shyam Sankar, the Chief Technical Officer of Palantir Technologies and inventor of their famous Forward Deployed Engineering force.
Early employee and longtime leader Shyam explains the evolution of technology at Palantir, from ontology and data integration to process visualization and now AI. He describes how a company of Palantir's scale has adopted foundation models and shares customer stories. They discuss the case for open source AI models fine-tuned on private, domain-specific data, and the challenges of anchoring AI models in reality.
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Show Notes:
[0:00:00] - Palantir's CTO Discusses Company's Background
[0:10:17] - Apollo and AIP
[0:20:25] - Future of UI and Application Integration
[0:28:29] - Investment in Co-Pilot Models and Education
[0:31:22] - Exploring AI Implementation in Various Industries
[0:38:19] - Operational and Analytical Workflows in Context