Learn how Drive Health is leveraging Google's AI and data analytics capabilities to transform healthcare access for Medicaid populations in Southern Illinois. By addressing critical barriers in prenatal care, chronic disease management, and mental health, this initiative is projected to achieve remarkable results, including a 20% reduction in preterm births and $5.2 million in annual cost savings. Learn how our innovative approach is creating a blueprint for equitable healthcare delivery and improving lives in under-served communities.

Discover the transformative power of Gemini in BigQuery, which is revolutionizing data analytics with AI-driven innovations. This session showcases capabilities designed to enhance workflows – streamlining data preparation and migrations, enabling advanced code generation, facilitating conversational data exploration, and optimizing workloads intelligently. Learn how these advancements simplify complex tasks, elevate productivity, and empower teams to unlock the full potential of their data.

Don’t miss this fireside chat! Join Teradata, Google Cloud, and HSBC to discover how Teradata VantageCloud migrated HSBC’s UK data platform. Learn how Teradata’s Cloud Vantage EDW enabled scalable, secure solutions and improved decision-making. With over 4 billion queries, 2,500 applications, and 35 integrated systems, this hybrid cloud solution offers unparalleled resilience and cost-efficiency.

Cox’s growth goals hinge on customer acquisition and retention to expand its market reach. Traditional customer service models, limited by inefficiencies and reactive support, hinder scalability. Next-generation customer service innovations – powered by AI, automation, and data-driven insights – enable proactive engagement, hyper-personalization, and seamless omnichannel experiences. Innovative strategies unlock new revenue streams, improve customer lifetime value, and enhance operational agility, turning every customer interaction into a growth opportunity.

This Session is hosted by a Google Cloud Next Sponsor.
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BigQuery is unifying data management, analytics, governance, and AI. Join this session to learn about the latest innovations in BigQuery to help you get actionable insights from your multimodal data and accelerate AI innovation with a secure data foundation and new-gen AI-powered experiences. Hear how Mattel utilized BigQuery to create a no-code, shareable template for data processing, analytics, and AI modeling, leveraging their existing data and streamlining the entire workflow from ETL to AI implementation within a single platform.

Datalakes and lakehouses are becoming more popular for storing sensitive data. This session will explore the challenges of implementing effective de-identification and potential Google Cloud based solutions.

Data de-identification is complex due to the diversity, scale, and variety of formats. Ensuring compliance and maintaining data utility are key challenges. Careful evaluation of techniques like tokenization and masking is essential, along with robust monitoring and auditing.

Learn how to speed up popular data science libraries such as pandas and scikit-learn by up to 50x in Google Colab using pre-installed NVIDIA RAPIDS Python libraries. Boost both speed and scale for your workflows by simply selecting a GPU runtime in Colab – no code changes required. In addition, Gemini helps Colab users incorporate GPUs and generate pandas code from simple natural language prompts.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Data silos are costing you time and money. Discover how Google Workspace, combined with Google Agentspace, can serve as your central hub for work with a single, searchable source of truth for business data. We’ll demonstrate how to eliminate data silos and speed up AI adoption while integrating relevant information into employees’ daily Workspace experience. This session is ideal for IT leaders and developers seeking to maximize the value of their data.

Unlock the full potential of your data with Google's autonomous data and AI platform. This session explores how we're bringing the power of AI directly to your data, integrating multimodal data handling, an innovative AI Query Engine, and Gemini agents to enable seamless data integration, automated workflows, complex reasoning, and real-time insights. Join us to explore the latest advancements in BigQuery and Looker and build a data and AI strategy that drives your business forward.

McDonald’s is advancing its AI capabilities and achieving transformative business outcomes with Collibra and Google Cloud Gemini. By integrating a multi-cloud, multi-data platform with unified data governance for AI, McDonald’s is reducing governance fragmentation, activating unused data, and addressing AI deployment risks. This session examines how McDonald's utilizes Collibra and Google Cloud's data and AI technologies to quickly implement innovative solutions and improve customer, restaurant team, and employee experiences.

In this hands-on lab, you'll explore data with BigQuery's intuitive table explorer and data insight features, enabling you to gain valuable insights without writing SQL queries from scratch. Learn how to generate key insights from order item data, query location tables, and interact with your data seamlessly. By the end, you’ll be equipped to navigate complex datasets and uncover actionable insights quickly and efficiently.

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!

The future of transportation is intelligent, and AI is the driving force. This session features leaders from public sector agencies who will share how AI is being applied to improve our transportation systems and enhance overall public safety.

Learn how leading retailers accelerate business growth by transforming customer experiences with Google Cloud. Through in-depth enterprise case studies, discover proven strategies for unifying customer data, delivering personalized engagement at scale, and empowering teams with actionable insights. Join industry pioneers as they share their implementation journey, demonstrate measurable ROI across digital touchpoints, and reveal best practices for driving operational efficiency. Walk away with practical frameworks for accelerating your own digital commerce transformation.

Google's Data Cloud is a unified platform for the entire data lifecycle, from streaming with Managed Kafka, to ML feature creation in BigQuery, to global deployment via Bigtable. In this talk, we’ll give you a behind the scenes look at how Spotify's recommendation engine team uses Google's Data Cloud for their feature pipelines. Plus, we will demonstrate BigQuery AI Query Engine and how it streamlines feature development and testing. Finally, we'll explore new Bigtable capabilities that simplify application deployment and monitoring.

In today’s rapidly evolving business landscape, data is no longer just a back-office function – it’s the lifeblood of informed decision-making and competitive advantage. This session is designed to empower business decision-makers with the knowledge and strategies to become truly data-driven leaders in the age of disruption.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Learn how Dun & Bradstreet, a leading provider of business decisioning data and analytics, supercharged their business with Google Cloud. You’ll learn how Dun & Bradstreet achieved a 95% decrease in data onboarding time and a 50% reduction in data latency, and how they unlocked new revenue streams with AI. Learn how they built an enterprise-grade data cloud, and new and innovative AI solutions. Join us to find out how your organization can leverage Dun & Bradstreet’s experience and learnings to achieve similar success in your own data analytics and AI journey.

Unlock the potential of AI with high-performance, scalable lakehouses using BigQuery and Apache Iceberg. This session details how BigQuery leverages Google's infrastructure to supercharge Iceberg, delivering peak performance and resilience. Discover BigQuery's unified read/write path for rapid queries, superior storage management beyond simple compaction, and robust, high-throughput streaming pipelines. Learn how Spotify utilizes BigQuery's lakehouse architecture for a unified data source, driving analytics and AI innovation.

Discover strategies for transforming your data and AI landscape by making governance a competitive advantage. Learn from industry executives on how to establish robust governance frameworks, ensuring confidence and control in your data and AI initiatives, and gain actionable insights to position your organization for successful AI-driven innovation.

For years, mainframe modernization seemed out of reach. Generative AI breakthroughs, led by Google’s Gemini, offer automated assessments, code transformation, and risk mitigation for accelerated and cost-effective cloud migration. Learn from Ford and Intesa Sanpaolo about how they reduced costs, boosted performance, and embraced innovation by modernizing their core applications off the mainframe and onto Google Cloud. Learn how Google Cloud’s mainframe modernization solutions can work for your digital transformation journey.

This session brings together leading product experts from Google Cloud, Anthropic, Oracle, Databricks, and SAP to explore the five essential strategies for enterprises to successfully leverage AI and data. Attendees will gain valuable insights from real-world AI implementations, learn from the successes and challenges faced by global customers, and receive practical guidance on how to translate these strategies into actionable plans for their own AI journeys.

Managing BigQuery costs can be challenging, especially when juggling the different pricing models. In this session, we’ll dive into the obstacles companies face when using BigQuery at scale and how to overcome them. Highlighting real-world use cases, I’ll share how organizations have successfully optimized their BigQuery expenses by addressing inefficiencies in reservations. Attendees will learn practical strategies to reduce costs by up to 35% and discover how automatically adjusting the max slot setting can be a game-changer.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Discover how semiautonomous agents reduce manual effort and accelerate business outcomes with AI-powered experiences for data discovery, data preparation, analysis, and insight generation.

Explore how the open source Data Migration Tool can help with end-to-end automation for Teradata to BigQuery migration, including schema migration, data migration, and schema & data validation.

Seamlessly search your first and third party enterprise data with Google Agentspace. Discover its ready-to-use agents and other upcoming features, transforming how you work and access information.

Build fully integrated streaming pipelines on Google Cloud and learn how to leverage AlloyDB, Datastream, BigQuery, Looker, and Vertex AI for real-time data analysis.