Systems | Development | Analytics | API | Testing

Best Practices to Develop, Deploy, and Manage Gen AI Copilots

Generative AI copilots are moving from experimental tools to core enterprise solutions. But too often, organizations rush into development, only to discover adoption stalls because the copilot doesn’t solve a specific user problem, lacks trust safeguards, or can’t scale reliably. This guide lays out best practices across the entire lifecycle, from planning and building, to deployment, monitoring, and long-term maintenance.

Effortless data prep in BigQuery: A low coder's guide

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!

Your AI Partner: How to Get Actionable Insights and Accelerate Supply Chain Analysis

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.

AI Inside Snowflake: Practical Applications for Data Teams

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.

Watch Now: The Analytics Demo That Turns Data into Action

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.