Join us to learn how you can build on Google’s intelligent, open, and unified Data Cloud to accelerate your AI transformation. This session covers deep integrations between BigQuery and Google’s operational databases, such as Spanner, AlloyDB, Bigtable, Cloud SQL. Mercado Libre will share how Spanner and Bigtable Data Boost enable near-zero impact analytics on their operational data. Plus, discover how Datastream and change streams simplify data movement to BigQuery, and how reverse ETL (extract, transform, and load) from BigQuery powers operational analytics.

Learn about the latest developments in our integrated geospatial analytics capabilities from Google Maps Platform, Google Earth Engine, and BigQuery. Discover how our rich geospatial data, powerful cloud computing, and built-in AI tools make it easier for any professional to unlock insights, leading to faster, better decisions that drive business growth and sustainability. Find out how our customers are currently using geospatial analytics and Google Cloud infrastructure to improve their business and sustainability outcomes.

In today’s data-driven world, enterprises are seeking scalable, cost-effective and high-performance cloud data warehouses to fuel their analytics and AI initiatives. BigQuery has emerged as a leading solution, attracting many organizations with its serverless architecture, powerful AI and machine learning (ML) capabilities, and a unified data and AI experience. Discover how Quest Diagnostics and Ford successfully migrated to BigQuery to improve efficiency and drive innovation, and learn about new tools to help streamline migrations to BigQuery.

Discover how to combine generative AI with knowledge graphs to create AI systems that understand causation and drive actionable insights. Through live demos, DoiT will explore how Spanner Graph enables long-term reasoning capabilities, moving beyond descriptive analytics to prescriptive AI that generates and adapts action plans. Discover patterns and strategies to build AI systems that go beyond “What happened?” to guide organizations toward their goals. Join DoiT for an inspirational talk to create better and more trustworthy AI recommendations.

This Session is hosted by a Google Cloud Next Sponsor.
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Uncover data's hidden connections using graph analytics in BigQuery. This session shows how to use BigQuery's scalable infrastructure for graph analysis directly in your data warehouse. Identify patterns, connections, and influences for fraud detection, drug discovery, social network analysis, and recommendation engines. Join us to explore the latest innovations in graphs and see real-world examples. Transform your data into actionable insights with BigQuery's powerful graph capabilities.

Explore the journey behind building the McKinsey Value Intelligence Assistant, bringing AI powered curation and insights to key business leaders by integrating dozens of datasets, filings and earnings call transcripts from 50K global companies. Gain insights into overcoming challenges in system architecture, data security, and real-time analytics to create a robust, cloud-native data intelligence platform with a small team in a short period time and the resulting business impact!

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.

Changes to Oracle’s long-standing licensing policies regarding Google Cloud have opened up a new avenue for customers to run their Oracle databases. Learn how Google’s infrastructure and network serve as the perfect foundation for maintaining performance and availability on your critical applications, while giving you a path to integrate those applications with industry-leading AI. Find out how customers are modernizing their workloads on Google Cloud as well as what’s next for their applications.

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

Spanner isn't just a database, it's a globally distributed, strongly consistent and highly reliable database platform built for the complexities of modern AI-first applications. We'll explore how Spanner's multi-model capabilities, including advanced search and seamless integration with analytics, enable developers to build intelligent, globally accessible applications. We’ll dive into Spanner's underlying technology to simplify your database solutions and learn from real-world examples from Shopify and Palo Alto Networks.

Explore how running RISE with SAP on Google Cloud empowers businesses to transform operations and drive innovation. We'll showcase how our partnership is leading in data & analytics and how to gain real-time insights from your SAP data. With AI at the core of our solutions, you can automate processes, personalize experiences, and optimize resource allocation like never before. Learn how connecting everything with SAP enables you to achieve anything in today's dynamic business environment.

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.

Step up to the plate and dive into the world of MLB player analytics! Build a data platform and app that introduces new fans to MLB's stars. You will combine structured and unstructured data like MLB player stats and videos, then visualize and ask your data questions. Take this opportunity to leverage the latest and best of Google Cloud's data tools, like BigQuery for storage and analysis, Looker for data modeling and visualization, and the new Conversational Analytics for natural language queries. What new MLB player insights will you uncover?

Join this Cloud Talk to explore how Large Language Models (LLMs) can revolutionize your data workflows. Learn to automate SQL query generation and stream results into Confluent using Vertex AI for real-time analytics and decision-making. Dive into integrating advanced AI into data pipelines, simplifying SQL creation, enhancing workflows, and leveraging Vertex AI for scalable machine learning. Discover how to optimize your data infrastructure and drive insights with Confluent’s Data Streaming Platform and cutting-edge AI technology.

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 public sector organizations are using data and AI to protect our resources, monitor and address environmental challenges, and better understand the world around us. By leveraging AI, advanced analytics, demographic data, and satellite imagery, we’re able to build a safer and more sustainable future, together.

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.

 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.

Debugging modern applications demands a new level of observability expertise. Traditional monitoring struggles with these complex distributed environments. This session goes beyond dashboards, exploring expert observability strategies tailored for the generative AI era. We’ll cover essential instrumentation with OpenTelemetry and eBPF, system health overviews using Metrics Explorer and Trace Explorer, and in-depth data analysis with SQL queries in Observability Analytics.

Is siloed data hindering your operations? Learn how Nuro consolidated their transactional, relational, and vector data sets on AlloyDB for PostgreSQL, and how they’re now able to do operational analysis, real-time analytics, and business intelligence (BI) reports on the same platform. Join this panel session to discover best practices for unifying vector and relational data, and learn how Nuro is now able to satisfy their self-driven car analytics use cases in a cost-effective way.

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.

Take part in the new SOC Experience – a view into real-world attack scenarios. Learn about the latest hacker tactics and how Google equips cybersecurity teams with the data, AI, and scalable analytics to detect and remediate attacks.