Is siloed data hindering your operations? Learn how Nuro consolidated their transactional, relational, and vector data sets on AlloyDB for PostgreSQL, and how they’re now able to do operational analysis, real-time analytics, and business intelligence (BI) reports on the same platform. Join this panel session to discover best practices for unifying vector and relational data, and learn how Nuro is now able to satisfy their self-driven car analytics use cases in a cost-effective way.

Your transactional data powers many applications – from Analytics to generative AI and interactive online systems. AlloyDB unifies all these workloads onto a single, high-performance platform to extend your real-time data. This session dives into two built-in features: AlloyDB AI and the Analytics Accelerator. We'll show the key technologies behind these features, including Google's fast vector search and the columnar engine that enables fast analytical queries, hybrid transaction, and analytics use cases. We’ll share how customers simplified their Analytical and gen AI apps with these two features.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Deploying AI to production can be bafflingly complex. Learn how Google Cloud is bringing its over two decades of expertise in productionizing planet scale AI to our cloud customers with the AI Hypercomputer architecture. It’s a groundbreaking supercomputing architecture built on performance-optimized hardware (TPUs, GPUs), open software (PyTorch, Jax, Kubernetes), and tailored consumption models that optimize efficiency and productivity across AI training, tuning, and serving. Plus, gain valuable insights from our customers Kakao Brain and Nuro on their journey to deploying large scale AI on Google Cloud.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.