Deploying AI in production is getting more complex — with different model types, tighter timelines, and growing infrastructure demands. In this session, we’ll walk through how Mosaic AI Model Serving helps teams deploy and scale both traditional ML and generative AI models efficiently, with built-in monitoring and governance.We’ll also hear from Skyscanner on how they’ve integrated AI into their products, scaled to 100+ production endpoints, and built the processes and team structures to support AI at scale. Key Takeaways: How Skyscanner ships and operates AI in real-world products How to deploy and scale a variety of models with low latency and minimal overhead Building compound AI systems using models, feature stores, and vector search Monitoring, debugging, and governing production workloads

From its founding in 2023, Skyscanner has leveraged analytical data to optimise business and traveler experiences. And with more than 110 million monthly users resulting in 30+ billion analytical data events per day, Skyscanner is an expert at managing data at scale.

Join Michael Ewins, Director of Engineering at Skyscanner, to learn how his team develops and executes data strategies centered on their core principles of data reliability, trust and rapid data-driven decision making. Michael will dive into the challenges his team faces navigating complex lineage, strategies for effectively combating data incidents, how they simplified their analytics infrastructure for a more practical approach to data governance, and their success in implementing impactful ML and AI business-critical use cases.

Learn how Skyscanner develops and executes data strategies based on data reliability, trust and rapid data driven decision making.