We are bringing Google’s research and innovations in artificial intelligence (AI) directly to your data in BigQuery. Join this session to learn about BigQuery’s built-in ML capabilities, such as model inferences, and how to use Gemini, Google's most capable and flexbile AI model yet, directly within BigQuery to simplify advanced use cases such as sentiment analysis, entity extraction, and many more.

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Block storage is the foundation for cloud workloads, but ensuring your infrastructure is optimized and protected can be challenging. Explore how Google Cloud Hyperdisk makes efficiency, optimization, and protection easy on any workload, including data analytics, database management systems, and AI/ML.

Learn to use Hyperdisk to:
- Optimize the total cost of ownership of your enterprise workloads - Achieve near-zero recovery point objective/recovery time objective - Accelerate AI inference workloads and maximize GPU efficiency

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Unifying storage for your data analytics workloads doesn‘t have to be hard. See how Google Cloud Storage brings your data closer to compute and meets your applications where they are, all while achieving exabyte scale, strong consistency, and lower costs. You'll get new product announcements and see enterprise customers present real-world solutions using Cloud Storage with BigQuery, Hadoop, Spark, Kafka, and more.

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Tired of the endless cycle of data platform migrations? Discover a nuanced approach that prioritizes vendor independence and future-proofs your data initiatives. Learn how seemingly well-justified migrations, driven by platform limitations and promises of the 'next big thing', often fail to deliver lasting value. We'll present strategies to minimize vendor lock-in, ensuring your data analytics strategy remains adaptable and sustainable. 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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Explore how BigQuery and BigLake power innovative data analytics solutions and walk through implementing data products powered by AI/ML for real-world applications. Learn from Google Cloud about the latest advancements in both technologies, with an emphasis on:

• BigLake's integration with Apache Iceberg for efficient AI/ML • How BigQuery serves as a foundational element in successful data mesh architectures

You will also hear from two leading customers, Trendyol and Snap, on their real-world journeys, demonstrating the transformative impact of these technologies on their analytics and AI initiatives at scale.

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Join this session to learn how Gemini in BigQuery can help you accelerate time to insights by enhancing productivity, and optimizing the cost and performance of data workloads.

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Learn how to empower teams to speed development of the latest enterprise-grade innovations on Google Cloud Marketplace, from data analytics and generative AI to best-of-breed business applications. Discover features to help maintain real-time visibility and governance over your development and operations so you can mitigate shadow IT. You’ll hear from customers who have successfully grown their business and increased time-to-deployment.

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The key to maintaining a strong cloud security posture is to build from the start on a robust foundation of baseline security controls. Google Cloud’s Security Foundation provides recommended controls to common cloud adoption use cases, including infrastructure modernization, AI workloads, data analytics, and application modernization. In this session, you’ll learn how to start secure and stay secure in the cloud using the Security Foundation.

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Learn how Google detects threats against Google Cloud to protect multicloud environments. Join this technical session and find out how industry-leading Mandiant threat intelligence combines with planet-scale data analytics to detect new and persistent threats to cloud environments, cloud identities, and cloud workloads. See how end-to-end investigation and case management support the right security outcomes.

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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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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

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.

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.