Systems | Development | Analytics | API | Testing

Transform messy JSON into a powerful AI recommendation engine, all within BigQuery. This demo showcases a low code workflow, using Data Prep's visual tools to clean raw data, BQML to generate Gemini powered vector embeddings, and a simple SQL query to find similar items. It's a look at how Google Cloud lets data analysts build end-to-end AI pipelines without complex ETL scripts. The entire project is open-source. Build it yourself!

Don’t just get answers—get a partner in your analysis. This demo shows how our AI-powered platform helps you with supply chain performance analysis. In just a few clicks, you can ask for key metrics on specific products and get a clear, visual breakdown of the data.

Snowflake is rapidly evolving into an AI-powered data platform, enabling organizations to go beyond traditional analytics and bring intelligence directly into their data workflows. In this session, Vivek Sunny will share practical insights from his hands-on experience implementing AI-driven solutions on Snowflake—bridging data engineering with AI to unlock business value.

Check out what’s new in ThoughtSpot’s latest release!

What if your analytics could be a launchpad for action, not just a static report? This demo shows how ThoughtSpot Embedded builds bridges to workflows, allowing you to trigger actions like launching a marketing campaign or sending a survey directly from your app. It’s about more than just intelligence—it's about making that intelligence actionable. Don't just look at your data; act on it.

Learn how to successfully replicate data from Salesforce to Google Cloud Storage.

Learn how Confluent Platform has transformed Apache Kafka with a cloud-native architecture that makes it faster, more performant and easier to securely manage and scale your on premises and hybrid cloud environments.

Watch this overview of Confluent Cloud and see all of the products and features that let you integrate data streams across external systems and create enriched, trustworthy data products on AWS, Microsoft Azure, and Google Cloud.