Systems | Development | Analytics | API | Testing

What happens when your AI system stops responding in the middle of a critical decision? This demo shows how organizations run AI inference for real-world applications like pneumonia detection to: See how Cloudera AI Inference Service enables teams deploy and monitor multiple models with full control, predictable costs, and no dependency on external APIs, so mission-critical AI keeps working when it matters most.

Learn what happens when the executive accountable for data strategy is also the executive accountable for the business results that depend on it. Saugata Saha, President of S&P Global Market Intelligence and Chief Enterprise Data Officer at S&P Global, shares how he manages one of the world's largest financial data estates while driving business outcomes across public and private markets. He breaks down the four pillars of S&P Global's data strategy, the federated organizational model that connects data teams to business value, and why capturing ROI from AI requires deliberate workflow transformation.

Human spaceflight is one of the few domains in which data and human judgment must work together flawlessly under extreme pressure. That makes it a powerful lens for understanding what it takes to build resilient, intelligent systems here on Earth. In this Women Leaders in Technology spotlight episode of The AI Forecast, Paul Muller sits down with former NASA astronaut Dr. Jeanette Epps to explore what complex, high-stakes environments can teach us about AI.

Everything happening at Snowflake in May. Snowflake Interactive Analytics is now generally available on Azure and GCP, delivering subsecond query speeds at scale with no external databases required.

Migrating semantic models between ThoughtSpot and Snowflake just got significantly faster. Our Senior Product Manager, Damian Waldron, walks through how to use ThoughtSpot's Agent Skills in Snowflake Cortex Code (CoCo) to migrate and sync between ThoughtSpot Models and Snowflake Semantic Views, including complex schemas with fan traps, semi-additive measures, and shared dimensions. In this video you’ll learn how to.

Learn how to go from Snowflake Semantic View to a fully functional ThoughtSpot Liveboard in under five minutes. Our Senior Director of Product Management, Antonio Scaramuzzino, shows the powerful native integration between Snowflake Semantic Views and ThoughtSpot’s Spotter Semantics. You’ll learn how to: + Skip the manual mapping. Use the Semantic Views you’ve created in Snowflake directly in ThoughtSpot.

Hey, did you know AI can’t be confined to just one environment? AI is moving faster than ever, but it cannot be confined to a single environment. From the public cloud to on-prem data centers and out to the edge, AI is everywhere. However, when these environments remain siloed, your data strategy breaks—leading to inconsistent governance and scaling roadblocks. In this video, discover the vision of AI Anywhere. To unlock real business value, AI must operate exactly where your data lives, maintaining the same level of control, trust, and security across every platform.

Have you ever wondered who keeps the world’s biggest networks running smoothly? Nine out of 10 top global telcos trust Cloudera to handle the heavy lifting. From processing a staggering 10 million events per second to managing data across the globe—from Indonesia to Africa—Cloudera provides the hybrid scale and "cloud anywhere" flexibility that massive networks need to stay secure and compliant. It’s all about delivering top-tier network quality and the best customer experiences through end-to-end governed data and AI.