Nicholas Broad is a machine learning engineer and a member of one of the top teams in Kaggle’s competition to evaluate how well large language models can write science exams and measure a student’s skills. He’ll be sharing his first-hand learnings and insights on this rapidly growing problem space.

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Take the next step in your AI/ML journey with streaming data. Learn to deploy and manage complete ML pipelines to run inference and predictions, classify images, run remote inference calls, build a custom model handler, and much more with the latest innovations in Dataflow ML. Learn how Spotify leveraged Dataflow for large-scale generation of ML podcast previews and how they plan to keep pushing the boundaries of what’s possible with data engineering and data science to build better experiences for their customers and creators.

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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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When your data outgrows the confines of traditional relational models, Google Cloud's databases offer the solution. This session will explore how to harness the power of distributed architectures and flexible schemas to handle massive datasets. We'll cover real-world use cases where unique databases like Spanner and nonrelational databases, including Bigtable, Firestore, and Memorystore, provide unmatched scalability and performance. In addition, Shopify will discuss how it’s using Bigtable for business critical use cases.

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We cover the they key principles of building a modern, cloud-first data platform: - A reference architecture for a simple, flexible, modular lake house - A process to select the right point of contact for the job - How to build and organize your team to continue to grow the platform In this session, we discuss not just what to build, but how to build it, and why the topics we cover are important for success.

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Yearning for insights from your spreadsheets? The combination of Looker and Google Workspace is your data dream team. In this session you will learn how to automatically generate Google Slides from Looker, how to generate reports from Google Sheets, and bring business intelligence into the flow of work. Leverage AI to find trends and generate summaries in seconds, and build interactive dashboards that respond to your clicks.

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Financial institutions around the globe are required to audit communication channels to be in compliance with regulations. Learn how Behavox is leveraging Google Cloud technology and LLMs to provide industry leading regulatory compliance and front office solutions for financial institutions globally. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Explore how conversational AI is enhancing user experiences in every industry by augmenting decision making and providing personalized recommendations. Hear how Bud Financial and Scotts Miracle-Gro produced chatbots to better serve the needs of and engage with their clients and customers. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Data scientists are under pressure to produce more and better results with fewer resources. This session will explore how Vertex AI can help data scientists be more productive. Mayo Clinic will show how they make it easy for their users to analyze data, experiment, train and deploy models through the use of Vertex AI features such as Workbench, AI Studio, Model Garden, Training and Inference, and Big Query. We’ll also cover recently released features of Vertex such as Colab Enterprise and Feature Store.

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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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Distributed applications across cloud require better performing, highly reliable and secure networks to run efficiently. As organizations adopt distributed cloud architectures across regions, the network design is critical to ensure that distributed applications can securly connect and scale to deliver best business results. In this session, we will share modern network designs, show demos utilizing existing and new products, and customer case studies.

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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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More customers are moving their critical workloads to Cloud SQL for SQL Server to take advantage of built-in high availability, data protection, security, and integration with other Google Cloud services. In this session, we’ll explore new capabilities that make it easier than ever to manage and scale your SQL Server databases with Cloud SQL, and we’ll dig into how to minimize downtime during migration using the Database Migration Service.

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Unlock the full potential of your cloud journey without sacrificing security. This session showcases the latest network security innovation from Palo Alto Networks and Google Cloud, designed to elevate your cloud security posture with unmatched ease of use. Join us and discover the next generation of Google Cloud network firewall protection. Watch a solution overview and customer use-case discussion on an offering that provides a cloud-first, easy to deploy operation, powered by Palo Alto Networks’ threat prevention technologies. 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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WPP provides a radically new framework to think about AI and how it can be used to address any friction across any supply-chain in any industry. A bold claim! They use marketing, media and communications - problems we're all familiar with - as an example. Lifting the hood on the plethora of algorithmic problems that need be orchestrated to solve this mind-boggling complex problem. Daniel showcases how this new framework to think about AI can help organizations choose the right AI's to solve, build and scale differentiated solutions. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Generative AI offers the opportunity to transform the manufacturing and automotive industries. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency. The session will also feature customer success stories and a discussion with organizations at the forefront of generative AI use.

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Get a behind-the-scenes look at Walmart's data and AI platform. We'll dissect their use of BigQuery, Spark, and large language models to run complex multi-modal data pipelines. We will deep dive into the choices with various engines (SQL, pySPARK) and technologies along with the corresponding tradeoffs. Gain exclusive insights to implement into your own projects.

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In this session, Gemini leads will cover the tips, tricks, insights and lessons learned from helping over 30-plus teams at Google Cloud build world-class developer productivity tools using generative AI. Session highlights include: the "secret sauce" behind GenAI Chat for both IDE and Cloud Console experiences; hidden “gotchas” behind code completion and generation experiences for over 21 languages; how developer teams have to change their processes when adding nondeterministic technology to their stack, and much more.

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Unleash the power of artificial intelligence (AI) to maximize embeddings to solve your unique business challenges. Join experts from Google Cloud and Two Sigma for an exploration of Vertex AI's text and multimodal embedding capabilities. These models drive innovation across different industries and use cases.

Two Sigma and Google Cloud draw on previous work to review their derivation of a framework for objectively evaluating embedding models, then the application of this framework against a textual similarity task using the Massive Text Embedding Benchmark (MTEB).

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David Austin is a data scientist and a member of one of the top teams in Kaggle’s competition to detect AI-generated text. He’ll be sharing his first-hand learnings and insights on this rapidly growing problem space.

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Join this demo-driven session to transform your development workflow with Gemini, your AI-powered collaborator. We'll start with a blank canvas and build, test, and deploy an application, leveraging Gemini's assistance at every stage. Explore how Gemini not only enhances your coding efficiency but also helps you understand and improve existing codebases. By the end, you'll discover a range of ways Gemini can supercharge your application development journey.

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BigQuery allows you to generate multimodal embeddings and perform vector searches directly on your data without complex preprocessing steps. Simplify the process of finding relevant data, identifying patterns and trends, and clustering similar objects together.

Learn how to generate embeddings using familiar BigQuery SQL syntax with multimodal inputs (text, images, audio). We’ll then review how to use BigQuery’s vector search capabilities to explore data in new and innovative ways, leading to faster decision-making and improved insights.

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Ready to level up your infrastructure, Google Kubernetes Engine, and networking skills with the power of Gemini? Join this session to learn how large language models work and how it applies to roles in infrastructure, DevOps, and networking.

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Learn how to talk to your data, and unlock insights with greater ease with Gen AI-powered Search and Conversation. See how Workday is putting natural language to work using Vertex AI to make it more accessible to extract insights for technical and non-technical users. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Join experts from Box, Typeface, Glean, CitiBank, and Securiti AI for actionable tips to effectively implement AI-powered apps across your enterprise. We'll discuss real use cases, implementation best practices, and how to measure returns on investment — whether that's in marketing, financial services, HR, or beyond.

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