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Event

Google Cloud Next '25

2025-04-09 Google Cloud Next Visit website ↗

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156

Google Cloud Next Conference (25)

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The future of AI-powered data is autonomous and agent-driven (Recap)

session
Peter Bailis (Google Cloud) , Richard Rubenstein (General Mills) , Jason Staloch (General Mills) , Yasmeen Ahmad (Google Cloud)

Unlock the full potential of your data with Google's autonomous data and AI platform. This session explores how we're bringing the power of AI directly to your data, integrating multimodal data handling, an innovative AI Query Engine, and Gemini agents to enable seamless data integration, automated workflows, complex reasoning, and real-time insights. Join us to explore the latest advancements in BigQuery and Looker and build a data and AI strategy that drives your business forward.

Transform retail with AlloyDB

demo

Learn how AlloyDB, AlloyDB AI, and Vector Search can power next-gen retail applications to revolutionize the shopping experience. Learn how to use these technologies in your next app.

Turbocharge ecommerce UX with real-time AI search

demo

Explore AI-powered search, moving beyond keywords to understand consumer intent. Discover how real-time embeddings of text and images power highly relevant search results, boosting sales and user experience.

Unleashing graph analytics in BigQuery (Recap)

session
Muhannad Alomari (BioCorteX) , Nik Sharma (BioCorteX) , Candice Chen (Google Cloud) , Yun Zhang (Google Cloud)
DWH

Uncover data's hidden connections using graph analytics in BigQuery. This session shows how to use BigQuery's scalable infrastructure for graph analysis directly in your data warehouse. Identify patterns, connections, and influences for fraud detection, drug discovery, social network analysis, and recommendation engines. Join us to explore the latest innovations in graphs and see real-world examples. Transform your data into actionable insights with BigQuery's powerful graph capabilities.

Weather forecasting reimagined: AI and beyond

demo

Explore using WeatherNext AI forecasts via BigQuery and Earth Engine, discover new ways to enhance your apps or products with Google Maps Platform, and learn about weather use cases and solutions.

Why leading enterprises migrate to BigQuery and what they learned along the way (Recap)

session
Mark Clare (Quest Diagnostics, Inc) , Steve Walker (Google Cloud) , Razal Minhas (Ford) , Mohit Virendra (Google Cloud)

In today’s data-driven world, enterprises are seeking scalable, cost-effective and high-performance cloud data warehouses to fuel their analytics and AI initiatives. BigQuery has emerged as a leading solution, attracting many organizations with its serverless architecture, powerful AI and machine learning (ML) capabilities, and a unified data and AI experience. Discover how Quest Diagnostics and Ford successfully migrated to BigQuery to improve efficiency and drive innovation, and learn about new tools to help streamline migrations to BigQuery.