Keynote session on hybrid cloud, open source, and Generative AI innovations, featuring Chris Wright, CTO of Red Hat.

Part of a 40-minute webinar on AI and cybersecurity, presented by Dr James Stanger. This talk covers the layers and foundations of AI/ML in cybersecurity.

Part of a 40-minute webinar on AI and cybersecurity, presented by Dr James Stanger. This talk discusses IT industry outlook for 2023 and how AI/ML will shape the future.

Part of a 40-minute webinar on AI and cybersecurity, presented by Dr James Stanger. This talk explores current real-world uses of AI/ML and future possibilities in the industry.

Part of a 40-minute webinar on AI and cybersecurity, presented by Dr James Stanger. This talk covers the Big Four foundations of emerging technology as they relate to AI/ML and cybersecurity.

Introduction to graphs / digital mind maps with visual examples; Benefits of this approach for a natural storage of information; Concrete application examples with visualizations; Ember Nexus in short: goals, state of the project.

Up to 90% of organizations are building across cloud environments, from edge to to multiple clouds - and the scale and speed of AI is putting pressure on these architectures. In this spotlight discover how organizations are leveraging decades of our infrastructure expertise to build secure, sovereign AI solutions. Also, learn how industry leaders are using the latest advances in networking, storage, and distributed cloud solutions to accelerate AI solution deployment anywhere.

Traditional enterprises can unlock their full potential and achieve transformative results by adopting a Cloud-first, AI-first approach. In this session, Infosys experts share a comprehensive blueprint powered by Infosys Topaz and Infosys Cobalt offerings on Google Cloud. Gain insights into the power of this dynamic duo and learn how Infosys is uniquely positioned to navigate enterprises through this transformative journey. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Join experts from Box, Typeface, Glean, CitiBank, and Securiti AI for actionable tips to effectively implement AI-powered apps across your enterprise. We'll discuss real use cases, implementation best practices, and how to measure returns on investment — whether that's in marketing, financial services, HR, or beyond.

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.

Enter our court and get pro-level jumpshot coaching from Google AI. Get instant feedback on your form, receive personalized tips, and find out exactly how to elevate your game.

Generate a personalized podcast using your Google Workspace apps (Calendar, Gmail, and Chat) to kick-start your day in the tone best suited to your mood. All while keeping your hands and eyes free.

Empower your organization to achieve greater efficiency and solve critical business challenges with Google AppSheet's innovative no-code platform. This exclusive panel features industry leaders who achieved remarkable results by using AppSheet to streamline workflows and empower their teams. Learn first-hand their inspiring journeys, gain practical tips, and unlock the full potential of AppSheet to drive growth and innovation within your own organization.

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Experience the transformative power of real-time interactions with your dashboards through natural language. Say goodbye to waiting for analysts to provide graphics and conclusions. Witness the immediacy of getting your questions answered accurately and precisely, grounded in your data warehouse. Join us for an immersive exploration of data-driven decision-making, complete with a live demo showcasing a practical business scenario. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Businesses need to predict what customers want and create personalized experiences to gain a competitive advantage and drive revenue. They need to deliver customized, tailored interactions that increase customer acquisition, improve loyalty and increase satisfaction. Join Fullstory’s Head of Data Products to learn how Data + Engineering teams can supercharge tools like DialogFlow and BigQuery with unprecedented behavioral data to accurately forecast and create experiences that outpace the competition and keep customers coming back for more. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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.

Building an assistant capable of answering complex, company-specific questions and executing workflows requires first building a powerful Retrieval Augmented Generation (RAG) system. Founding engineer Eddie Zhou explains how Glean built its RAG system on Google Cloud— combining a domain-adapted search engine with dynamic prompts to harness the full capabilities of Gemini's reasoning engine. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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.

This session will take a technical look across Google Cloud's operational databases portfolio and a deeper dive into the key patterns and scenarios mapping to each database. We’ll provide you with prescriptive guidance on choosing databases for workload migrations and what selection criteria to factor in to your decision making.

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.

Need precise data extraction from your documents?  This hands-on lab teaches you to build custom document extractors with Document AI Workbench. Learn to create, train, and evaluate a model tailored to your specific document types and achieve higher processing accuracy.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!