interviewed at – Ari Gesher
summary
Palunteer describes building a data product that pairs heavy integration with rich UI so domain experts can act on messy real‑world problems. Focus is on human in the loop workflows where automated ML fails against adaptive adversaries (fraud, cyber, counterterrorism), engineering an interactive stack (Horizon-like in‑memory layer plus Hadoop/Elasticsearch) and reducing on‑site engineers by baking field knowledge into product. Also emphasizes shifting from heavyweight Java desktop clients to web native interactive analytic products and simpler Photoshop Express style tools.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 1:00What do you do at Strata
- 2:53Challenges of big data
- 7:05Palantir reputation
- 9:38Philanthropy
- 12:01Business Model
- 13:11Talent
- 16:32Data Visualization








