This talk introduces MCP servers as the new “USB-C for AI,” enabling large language models to securely connect with external tools and data sources. Focusing on digital analytics, we will explore how MCP servers simplify access to platforms such as Google Analytics and BigQuery, turning natural language queries into actionable insights.

Pedal your way to the right choice, smack that giant enter button to confirm, and pick the right deployment for your prompt. Peek behind the scenes at the Google Cloud console for the tooling to explore and analyze logs and metrics.

Key Topics:\n- Keep costs under control & estimate usage\n- Alerting and monitoring\n- Best practices

Unify your data warehouse and operational store for real-time insights. Use new innovations in Bigtable SQL and BigQuery.

Unleash fresh avenues for efficient marketing with data analytics and generative AI. Combine creativity with modern analytics to transform marketing workflows from real-time insights to AI-powered recommendations, segmentation, and image and video generation.

A playful take on retro gaming meets real-time data analytics and AI. Dive into an end-to-end architecture that ingests user interactions in various shapes and forms, and provides a tailor-made game experience to the end user using Gemini.

Unlock the power of your data with AI using Oracle Database@Google Cloud. Seamlessly lift and shift your Oracle database to Google Cloud and integrate it with BigQuery and Vertex AI for a financial services use case.

Learn how you can use BigQuery and Earth Engine together for a variety of weather and climate resilience use cases including risk assessment, response, and recovery. You'll receive a real world step-by-step walkthrough, highlighting new geospatial features and AI-driven datasets, that make it easier for any professional to unlock insights that can contribute to greater climate resiliency.

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.

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.

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.

In this game you will learn to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end, learn to use BigQuery to find data, build a time series model to forecast demand of multiple products using BigQuery ML, and create a basic report in Google Data Studio.

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.

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.

With the surge of new generative AI capabilities, companies and their customers can now interact with systems and data in new ways. To activate AI organizations require a data foundation with the scale and efficiency to bring business data together with AI models and ground them in customer reality. Join this session to learn the latest innovations for data analytics and BI, and why tens of thousands of organizations are fueling their journey with BigQuery and Looker.

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.

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.