Discover the transformative synergy between SAP Datasphere and Google BigQuery, driving data insights. We'll explore Datasphere's transformation, integration, and data governance capabilities alongside Big Query’s scalability and real-time analytics process. Also learn how SAP GenAI Hub and Google Cloud accelerate AI initiatives and innovation. You will also hear real-world success stories on how businesses leverage this integration for tangible outcomes.

By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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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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Learn common architecture patterns that customers use with Memorystore to supercharge their most demanding use-cases such as caching, generative AI, leaderboards, real-time analytics, and others. We'll also dive into how Memorystore’s readily available and resilient architecture combined with its zero-downtime scalability provides 99.99% uptime and submillisecond performance.

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BigQuery Studio and BigFrames are a powerful combination for scalable data science and analytics. Unify data management, analysis, and collaboration with BigQuery Studio’s intuitive interface. Scale data science and machine learning with BigFrames’ powerful Python API. Get deeper insights, faster.

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IHG Hotels & Resorts, managing 6,500+ hotels across 19 brands, faced data challenges amidst rapid growth. Cognizant & Google Cloud helped modernize their infrastructure. Using Data Fusion & migration tools, 320TB of data moved from Teradata to BigQuery, enabling scalability, security, and advanced analytics. This laid the foundation for IHG's future growth and empowers data-driven decision-making. Please note: seating is limited and on a first-come, first served basis; standing areas are available. 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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Application development in continuously breaking down silos. From Dev, DevTest, DevOps, DevSecOps, MLOps, Analytics, to… DevAI? Developers are now being thrust into the dynamic arena of real-time analytics and generative AI (GenAI): two forces shaping the next iteration of technology. This session dives deep into this intersection, demonstrating how developers can leverage these revolutionary tools to not only build applications, but craft game-changing business strategies.

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Join us to learn how to activate the full potential of your data with AI in BigQuery. Take an in-depth look at how BigQuery's core integration with generative AI models like Gemini, coupled with its petabyte-scale analytics capabilities, enables new possibilities for gaining insights from your data. Learn how to derive insights from your untapped and unstructured data such as images, documents, and audio files, and explore BigQuery vector search and multi-modal embeddings, all powered by Google's industry-leading AI capabilities in BigQuery using simple Cloud SQL queries. You will also learn how Unilever is creating a data strategy that allows data teams to scale efficiently and rapidly experiment with AI models and gen AI use cases.

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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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Accessing mission-critical data in a nonintrusive fashion will be critical for enabling operational analytics, and with the evolution of generative AI, enterprises are building RAG-based gen AI applications that require access to operational data. Datastream is a simple, serverless data-streaming platform that organizes the ingesting, processing, and analyzing operational data to support AI/ML and RAG apps. Experts from RocketMoney and Intuit Mailchimp will share how they’re using Datastream to solve for Operational Analytics and beyond.

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This session is for AI/ML and data practitioners who want to build AI/ML data pipelines at scale and select the right combination of block, file, and object storage solution for your use case. Learn how to optimize all your AI/ML workloads like data preparation, training, tuning, inference, and serving with the best storage solution and easily integrate them into your Compute Engine, Google Kubernetes Engine, or Vertex workflows. We’ll also dive into how to optimize analytics workloads with Cloud Storage and Anywhere Cache.

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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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Google Cloud is building the next generation of Observability solutions using Gemini and BigQuery. In this session, we’ll show you how we can remove fragmentation for your logs, metrics, traces, events, billing data sources using Google BigQuery on Google Cloud Operations Suite to perform Observability analytics. Targeted audience includes Developers, DevOps Engineers, SRE, and Cloud Architects.

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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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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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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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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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As an API-first and cloud-born platform, Looker has always been focused on providing developers with the tools to build scalable and unique data applications and embedded analytics experiences. Learn about the latest Looker Embedded product enhancements and about Create Music Group's journey to create amazing data products by partnering with Google Cloud.

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Your transactional data powers many applications – from Analytics to generative AI and interactive online systems. AlloyDB unifies all these workloads onto a single, high-performance platform to extend your real-time data. This session dives into two built-in features: AlloyDB AI and the Analytics Accelerator. We'll show the key technologies behind these features, including Google's fast vector search and the columnar engine that enables fast analytical queries, hybrid transaction, and analytics use cases. We’ll share how customers simplified their Analytical and gen AI apps with these two features.

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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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Join us on Uber's journey to revolutionizing its data platform through Google Cloud. Discover how this migration has enhanced reliability, scalability, and analytics capabilities, showcasing the transformative power of Google Cloud in the ride-sharing industry. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today’s analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines and how HCA Healthcare is using them within its data ecosystem.

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An embodiment of the enduring partnership between Google and SAP is RISE with SAP on Google Cloud. It enables companies to grow, scale, innovate, and sustain by unleashing the power of data and generative AI.

Attend this session to get an understanding of the DNA of RISE, how customers can use it as a springboard for business process excellence, superior decision-making through advanced data and analytics capabilities, and innovation through generative AI. Google Cloud customers will share their RISE success stories.

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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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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