As AI adoption continues to grow at a rapid pace, data governance will become critical to ensure high-quality data powers AI models and large language models. Learn about the newest data governance innovations for Dataplex, including new integrations with Vertex AI, to help enterprises centrally discover, manage, monitor, and govern data across all data types to power analytics and AI at scale. Learn from leaders at Orange and Ford on how they are leveraging Dataplex to securely manage and govern their data in the AI era.

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Today enterprises are faced with a critical challenge of managing and monetizing vast amounts of data, demanding next level intelligence to realize AI driven insights. Join this session to learn how HCLTech is helping customers deliver advanced healthcare services and achieve regulatory compliance imperatives by integrating AI-driven analytics and GenAI to revolutionize data management. 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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The carbon credit market has become a major avenue of climate change mitigation measures for individuals and businesses alike. Still, offsetting emissions through carbon removal mechanisms, from afforestation to agricultural practices, requires the reliable quantification of carbon stocks and verification of credits at a global scale. How does that work? Two rising startups in this sector, Perennial and Pachama, will discuss their approach to building scalable carbon analytics with Google Earth Engine and other Google Cloud products.

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This session explores new features of Serverless Spark and its integration with BigQuery. Discover how to harness the strengths of BigQuery with generative AI and open-source tools for flexible, powerful data processing and AI model development. With Spark in BigQuery, you'll benefit from:

Rapid Spark development in BigQuery's secure, scalable environment Flexible data processing: Choose local execution, Spark, or BigQuery *Streamlined Spark workflows with BigQuery's workflow orchestration

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Generative AI is a fundamental shift in how business operate, and analytics ISVs (independent software vendors) are at the forefront of that shift. Join this session to: - Learn how ISVs that are built with BigQuery are using gen AI to solve complex business problems and create new opportunities. - Explore real-world success stories where businesses are achieving significant results - Gain insights into emerging trends and challenges, and potential for your business

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Discover how to build a customized, AI-powered Business Intelligence solution.In this hands-on workshop, you'll learn to integrate Looker, Gemini and Vertex AI, to: - Generate queries and visualizations effortlessly using natural language with Looker's AI Explore Assistant. - Extract instant insights from dashboards with AI-generated summaries and actions. - Understand the powered by Looker platform to build new data experiences with leveraging the entire Google Cloud ecosystem Join us and learn to architect innovative, AI-powered analytics with Looker and Vertex AI!

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We'll explore how integrating AI, serverless computing, data analytics, and APIs can revolutionize the retail landscape. Learn how Google Cloud Run, Apigee, BigQuery, and Vertex AI collaborate to create personalized shopping experiences, streamline operations, and drive sustainability. Key takeaways include implementing conversational AI for enhanced customer interaction, leveraging BigQuery for data-driven insights, and using Cloud Run for efficient, scalable retail solutions.

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Learn how Dataproc can support your hybrid multicloud strategy and help you meet your business goals for your big data open source analytics workloads. Discover how LiveRamp achieved performance boosts and cost reductions by migrating to Dataproc. Learn their migration secrets, overcome common hurdles, and leverage Dataproc's hidden gems for a seamless transition.

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Harnessing trends like Gen AI can unlock new opportunities, but many organizations are unable to activate their data due to fragmented data systems for analytics, AI, and ML which do not work together and slow innovation. Your data needs AI, and your AI needs data; requiring organizations to fine-tune models and ensure they are grounded in business reality using their own enterprise data. Join this session to learn and discuss the latest data and AI trends and gain practical approaches to ensure your data platform is AI-ready.

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Without data maturity, the transformative powers of new analytics and generative AI tools will be limited. Deeply understanding your data can directly influence a learner’s performance and engagement. In this session, we'll discuss how a unified data strategy can unlock real-time predictive insights in education while future-proofing your company data assets.

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Generative AI has emerged as a powerful tool for revolutionizing customer service, offering unprecedented capabilities to personalize interactions, assisting agents, providing insights and analytics, automating tasks, and enhancing customer satisfaction. This session will explore how the latest generative AI technology can be applied to transform key areas of customer service.

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This session is ideal for anyone who wants to better understand their Google Cloud costs at a granular level, and optimize their expenses with prebuilt templates attendees can use to plug in their own Google Cloud data. We’ll explore how to export billing data to BigQuery; how to use metrics in observability analytics to join with billing and create a granular cost breakdown; and how to use this data to save money. We’ll provide a demo and example template that attendees can immediately apply to their production environment.

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Innovators rely on Spanner for its unmatched scalability, hands-free management, and leading price performance. Learn about the latest innovations in AI, analytics, and efficiency that make Spanner more powerful and affordable for customers. ANZ Bank will share the journey where they reimagined their retail banking experience to deliver more personalized services to their valued customers.

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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.

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Data Analytics, Level 300 In this session we will highlight CME Group's approach to enabling data access to our customers in non-traditional ways, making it easy for new customers to access CME Group data and how we have designed solutions to securely and efficiently provide access to public and private datasets to customers. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Creating captivating generative AI analytics demos is easy. But building a product that consistently delivers value and handles real-life data complexity is challenging. In fact, only 3%-10% of companies effectively utilize LLMs for production. Learn how Cox 2M, the commercial IoT division of Cox Communications has become able to make smarter, faster business decisions using one of the few production-ready implementations of generative AI. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Building, deploying, and scaling software for thousands of clusters and locations can be challenging. Managing edge configurations to support use cases like store analytics, fast check-out, and predictive analytics adds to the complexity. Learn to use desired and declarative state configuration to manage clusters at locations remotely where the internet can be intermittent and physical access is hours or days away. Then get three techniques to manage the scale of thousands of remote endpoints and best practices using the latest in AI, open source, and distributed cloud to bring the store of the future to your customers today.

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In this session we will show how you can query, connect, and report on your data insights across clouds, including AWS and Azure, with BigQuery Omni and Looker. Reduce costly copying and customization and get answers quickly, so you can get back to work.

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Voice transcription in the financial markets is a complex endeavor given the highly specialized fast-paced nature of the business, and the security required to protect the confidentiality of business deals and strategy. Off-the-shelf transcription services are not fit for purpose and don’t provide the security required by financial services. To provide high-accuracy voice analytics, Symphony uses Google Cloud’s Vertex AI to help finance and trading teams collaborate across multiple asset classes.

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Break free from legacy databases, scale PostgreSQL workloads, and power real-time analytics. Learn how to run your workloads anywhere and build high-performance gen AI applications with AlloyDB.

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Step into the modern retail store and manufacturing center and learn how to deliver enterprise-ready use cases such as store analytics, inventory detection, visual inspection, and predictive analytics with Google Distributed Cloud, AI, and open source. Manage complex IT resources at scale, enable developer agility, and ensure the highest levels of data security to deliver modern customer experiences-from fast casual to brick-and-mortar, at global scale.

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Explore how BigQuery customers can use Gemini to extract value from their data.

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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.