Attend this session for an overview of our storage solutions and how they are optimized for a variety of workloads. We’ll share storage best practices for AI, Google Kubernetes Engine, and VMs, and customer storage and infrastructure cost optimization. You’ll gain insight into new features that deliver more performant and available apps to your business. We’ll also share our storage vision providing you the ability to plan for future application workloads.

-Industry’s first unified cloud storage optimized for AI and analytics workloads; -Intelligent storage powered by AI; -Built for mission-critical, high-availability data protection; -Migrating to cloud storage and Google Cloud at scale at low cost

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Discover how to leverage Chrome Enterprise to apply built-in security measures, including data-loss prevention and context-aware access controls, plus the latest product announcements. You’ll leave with actionable best practices, and tips to safeguard your corporate data and empower your team.

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Cultivating a belonging: Community through Cloud-based AI and Ancestral Intelligence. This session explores how artificial intelligence (AI), infused with emotional intelligence (EQ) and fueled by "ancestral intelligence" (the other AI), archived in the cloud, can create belonging. The cloud's capacity to store memories, emotions, and nostalgia can help us create our own AI legacy for future generations.

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Embark on a transformative journey with [Examined] Human, an 8-hour inclusion and belonging experience that breaks learning paradigms using experiential elements in a fully curated environment. This human-centered approach empowers you to examine your lived experiences and make different decisions - all in service of building stronger cultures, stronger companies, and stronger communities.

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Data virtualization had been held back by complexity for decades until recent advances in cloud technology, data lakes, networking hardware, and machine learning transformed the dream into reality. In this fireside chat, hear from authors of the new O’Reilly book Data Virtualization in the Cloud, Dr. Daniel Abadi and Andrew Mott, as they discuss in detail what data virtualization is and the trends in technology that are making data virtualization increasingly useful. Moderated by Starburst’s Field CDO Adrian Estala, the trio will explore the architecture of modern data virtualization systems and learn how these systems differ from one another at technical and practical levels.

We're in the a Cambrian Explosion of data architectures. In the last two years, dozens of vendors have each championed their own version of ‘the modern data architecture solution’, all claiming to be the future of IT in a data-driven enterprise. The sheer volume of architectures is daunting: Streaming data platforms, data lakes, structured/semi-structured/unstructured data, cloud data warehouses supporting external tables and federated query processing, lakehouses, data fabric, and layers of federated query platforms that offer virtual views of data. All claim to support the building of data products.

No surprise that customers are confused as to which option to choose. 

However, key changes have emerged including much broader support for open table formats such as Apache Iceberg, Apache Hudi and Delta Lake in many other vendor data platforms. In addition, we have seen significant new milestones in extending the ISO SQL Standard to support new kinds of analytics in general purpose SQL. Also, AI has also advanced to work across any type of data. 

What does this all mean for data management? What is the impact of this on analytical data platforms and what does it mean for customers? What opportunities does this evolution open up for tools vendors whose data foundation is reliant on other vendor database management systems and data platforms? This session looks at this evolution, helping vendors and IT professionals alike realise the potential of what’s now possible and how they can exploit it for competitive advantage.

The industry has witnessed some tectonic changes over the last few years: on prem to cloud to multi-cloud, BI to AI to GenAI, and data warehouses to data lakes to data lakehouses, to name a few. This constant evolution coupled with the ever-increasing demands of the business makes platform thinking crucial in order to ensure a future-proof infrastructure. As companies race to advance their AI strategies, Dell has seen a gravitational pull towards a modern data architecture that can create high quality data to feed AI and generate high quality outcomes. Join this session to learn about how the Dell Data Lakehouse, powered by Starburst, is the modern paradigm for this new era. You’ll learn about the investments Dell is making in data, analytics, and AI, why Dell and Starburst partnered up on this solution, and how it enables a tremendously powerful yet open and flexible data architecture.

Enjoy live music by Kings of Leon and Anderson .Paak while connecting with other Google Cloud Next ’24 attendees. Admission is free with your pass, and a limited number of additional tickets for this exclusive opportunity can be purchased on the website.

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Learn about the different ways to integrate Generative AI capabilities to your Android. We’ll cover Android APIs and SDKs to run text-to-text and text-to-image inference on-device and in the cloud.

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The data-to-insights journey is often slow and inefficient due to the friction between specialized tools and analytics skills. Join us to learn about the new natural language-driven and collaborative user experience of BigQuery. Explore how you can use natural language to navigate various stages of the analytics lifecycle including data discovery, pipeline building, processing, query composition, visualization, and more.

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Gemini in VSCode and JetBrains integrated development environments can unlock significant improvements in software delivery and security. In this session, you’ll learn how to harness the power of Code Transformations to streamline multiple tasks of the software development lifecycle, such as code optimization or troubleshooting. You’ll also learn how Commerzbank has been leveraging AI to accelerate its software delivery velocity and code quality/security.

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Mainframe modernization can feel risky, but it ultimately means escaping capital-intensive refresh cycles, slow maintenance, and opening up your data and teams to new services. In this session: - Learn about our broad portfolio developed in collaboration with partners and customers, spanning rewrite, refactor, and augment patterns - Learn how generative AI can accelerate transformation - Learn how customers have successfully modernized mainframe estates

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Bell, a telecommunications and technology services leader in Canada, is undergoing a comprehensive data modernization initiative. This transformation aims to dismantle organizational data silos, empowering cross-functional collaboration and fostering a culture focused on exceptional customer experience. By strategically leveraging data as a core asset, Bell will accelerate innovation, drive growth, and develop cutting-edge products and services to meet the evolving needs of its customers. This discussion examines Bell's approach to migrate key data platforms, exploring the challenges, strategies, and early outcomes of their modernization journey. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Harness the power of generative AI agents for process automation and rich conversational experiences. We will cover the practical applications of AI agents and how your teams can build them in a low- to no-code development environment. Learn to build, test, and deploy AI-powered conversational agents that seamlessly integrate into your workflows. Discover techniques for in-depth performance analysis and continuous optimization of your AI agents. Join us and elevate your business operations with the transformative potential of generative AI.

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Explore Anthropic’s Claude 3 models on Vertex AI Model Garden, and learn how enterprise customers are leveraging them for practical applications. Attendees will learn about the capabilities of Claude 3 models, implementation and integration strategies, and prompt engineering techniques for complex business use cases.

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Join Google Cloud and our leading partners to reveal how AI and generative AI are tackling retail’s most persistent challenges. Discover strategies for personalized marketing, intelligent inventory management, precision pricing, and enhanced customer experiences. Learn how your organization can harness the power of partnership to transform the future of retail.

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Experience the transformation. Learn how Gemini for Google Cloud uses AI to effortlessly manage Google Cloud. Get help with design, deployment, troubleshooting, and optimization directly within Google Cloud Console. Accelerate complex tasks, boost productivity, and stay focused on core business value. Gemini for Google Cloud offers goal-driven design, guided operations, and tailored optimizations, all with enterprise-grade security and privacy.

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Enterprise business processes span across a variety of different systems and platforms. Surfacing relevant business insights to enable informed decisions and drive business outcomes can be a tedious and time-consuming process. Google Cloud Cortex Framework brings generative AI insights from across your business, producing answers that reduce effort, cost and complexity in order to enable competitive differentiation. Learn how the combination of a consolidated and trusted data foundation with gen AI can provide a platform for innovation.

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Google Kubernetes Engine (GKE) provides cost efficiency and high performance to run AI inference on Google tensor processing units (TPUs) and NVIDIA graphics processing units. Join us to learn how Anthropic runs its inference workload for Claude on GKE, and how Anthropic achieved better price-perf on TPU v5e on GKE. We’ll also learn how GKE advanced management capabilities simplify Day-2 maintenance, and how Google Cloud Customer Support makes the entire experience a blast.

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Complying with industry and national regulations is a constantly evolving challenge that limits the pace of development.

This hands-on session will show you how to: - Create a strongly defined landing zone, compliant with external standards, and company best practices - Monitor for ongoing compliance to standards such as CJIS, FedRAMP and ITAR - Show how ISVs and services companies can serve their customers in regulated industries using Compute Engine

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