Enterprise AI at Scale: Performance, Cost, and Orchestration from the CEO’s Seat скачать в хорошем качестве

Enterprise AI at Scale: Performance, Cost, and Orchestration from the CEO’s Seat

📍 Recorded live at CXO Enterprise AI Day, Convene San Francisco As enterprise AI moves toward real production workloads, CEOs are facing a new set of constraints. Infrastructure complexity, token economics, heterogeneous compute, and cost efficiency are now board-level concerns. This panel explores how AI leaders are navigating those tradeoffs and where enterprise adoption is heading next. Recorded live at CXO Enterprise AI Day, this CEO conversation features Linda Yang from Supermicro, Tony Shakib of Exostellar, Sajai Krishnan of Clarifai, and Jeff Lu of Akool. Together, they share why orchestration, edge deployment, and economic efficiency are becoming decisive advantages, and how enterprises can unlock AI value without runaway infrastructure costs. Key insights include: Why enterprise AI infrastructure has become too complex to manage manually How token economics and GPU utilization will reshape AI ROI discussions The growing importance of heterogeneous compute and multi-vendor strategies Why edge AI is critical for latency, cost, and real-time use cases What CEOs expect to drive enterprise AI adoption in 2026 📣 Explore more CXO Enterprise AI Day insights on demand →    / @ignitegtm