Text-to-image generative AI models such as the Stable Diffusion family of models are rapidly growing in popularity. In this session, we explain how to optimize every layer of your serving architecture – including TPU accelerators, orchestration, model server, and ML framework – to gain significant improvements in performance and cost effectiveness. We introduce many new innovations in Google Kubernetes Engine that improve the cost effectiveness of AI inference, and we provide a deep dive into MaxDiffusion, a brand new library for deploying scalable stable diffusion workloads on TPUs.

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Join Cox Communications in their generative AI journey, from innovation to transformation. Explore how they enhance sales and value using Google Cloud's Vertex AI suite. Uncover use cases improving digital sales and NPS, and reducing contact center costs. Get insights from the journey's early days, including rapid prototyping, preliminary results, and plans for organizational readiness and application controls essential for scaling. Don't miss this deep dive into the intersection of innovation, strategy, and tangible outcomes.

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In this session, you’ll learn how to deploy a fully-functional Retrieval-Augmented Generation (RAG) application to Google Cloud using open-source tools and models from Ray, HuggingFace, and LangChain. You’ll learn how to augment it with your own data using Ray on Google Kubernetes Engine (GKE) and Cloud SQL’s pgvector extension, deploy any model from HuggingFace to GKE, and rapidly develop your LangChain application on Cloud Run. After the session, you’ll be able to deploy your own RAG application and customize it to your needs.

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HSBC has a large number of legacy IBM WebSphere applications that are costly to maintain and pose a compliance risk. This session will discuss how HSBC built a “migration factory” to help developers platform existing Websphere applications to Google Kubernetes Engine (GKE). The benefits of migrating these existing applications to GKE include reduced operational costs, improved compliance, increased scalability, faster application development, and improved security. Come learn exactly how HSBC did it and how you can replicate their process and success.

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Learn how platform engineering can provide multi-tenant traffic management to optimize performance, route efficiently to reduce costs, and simplify network operations. We‘ll demonstrate how multi-cluster services and multi-cluster gateways can be used to abstract the infrastructure for developers.

Learn from Shopify how they built their large-scale Kubernetes network to support 61 million shoppers and $9.3B in sales during Black Friday.

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Join three-time Kaggle Grandmaster Ruchi Bhatia in an exclusive interview with Kaggle Data Scientist Walter Reade. Ruchi will discuss her journey to becoming a top-ranked Kaggler, and the latest developments in machine learning and generative AI that have caught her attention.

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Turner Industries is leading the way in innovation and collaboration for their industry. Learn the keys to their leadership’s success in delivering their transformation from Microsoft 365 E5 to Google Workspace and find out about the collaborative organizational process they used to transform their business. Turner Industries has the right formula that you will not want to miss if learning how to transform your business is important to you.

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Follow along as two Developer Relations Engineers work in real-time to develop a minimal viable Flutter app, backed by Firestore database through a Google Cloud Run-powered API. We'll see the Cloud Run developer experience, focusing on automation and error recovery to deploy a REST API. Based on this API, see how to develop a Flutter application showing the latest UI features.

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Get a behind-the-scenes look at the bold initiatives transforming higher education at both Adtalem and Purdue University Global. Steven Tom, SVP & Chief Customer Officer at Adtalem will share the evolution from their first Gen AI learning tutor “Julian” to the AI initiatives happening today. Tim Werth, CIO of Purdue University Global, will share how they built an AI based learning assistant for students. Join us to see what the next generation of classrooms may look and feel like! Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Join us for this session where we will explore key MongoDB Atlas features including Data Federation, Atlas Triggers, and GraphQL API. We will also dive deep into MongoDB Atlas and Google Cloud integrations, such as Vertex AI and BigQuery, and how you can leverage these tools to build and scale your apps. Leave with actionable insights on how you can build with MongoDB Atlas on Google Cloud and explore what our Startup Program can do for you.

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Stop juggling security tools and start focusing on your business: Discover how Deloitte Managed Cybersecurity Services seamlessly integrates Google Cloud Security and top security solutions to streamline your Security Operations. Slash security risks, cut costs, and get protected in under 60 days. Find out how this powerful combination can protect your business, both now and in the future with Gemini.

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Learn how to get the most out of your CI/CD tools through new features. Find out the latest product updates to create secure and reliable application repositories, builds, and deployments.

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Google AI and Vertex AI are two Google Cloud platforms that allow developers to access the Gemini API. In this session, developers will learn what is possible to do today, and they will see some sneak peeks about what is coming.

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Kevin A. “KAM” McGrail KAM will start with a foundation on what Artificial Intelligence is, its impact on the CIA security model, & a quick history lesson about AI-Enabled cyberattacks. He will then discuss other problems including discussing AI policy & the new Shadow IT threat AI tools present. Finally, Kevin will discuss a few key solutions including using his signature, "Think Evil" process for cybersecurity. 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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From restaurants to help desks, near real-time AI is ready to interact with customers. But are businesses ready for it? Discover how you can use Google Cloud Anthos to deploy, execute and manage AI workloads from the cloud to the edge in this practical and informative session. 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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How can you distill enormous volumes of disparate data and use it to surprise and delight your customers? How are you evolving your infrastructure and processes to support greater demands to use data faster and more productively? From the playing field to the racetrack, leading organizations like the MLB, Golden State Warriors, McLaren, and LA Rams grapple with massive volumes of data. This customer panel brings together technology leaders to discuss the universal challenges along with their innovative solutions for maximizing the value of big data and AI across their businesses.

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Our research estimates that gen AI could add over $4 trillion of value annually — join McKinsey to hear the latest research on where the highest value use cases and opportunities for gen AI are across your organization. Hear how McKinsey and ING collaborated to build a GenAI-enabled customer service agent, and see examples of how industry-leading companies are productionalizing use cases to increase revenues and reduce costs today.

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Cloud technology in a world of developing AI and ML is providing unparalleled opportunity for innovation, efficiency and growth. Unfortunately, the tech industry still grapples with a significant gender gap. Women continue to be underrepresented at all levels across the tech industry. In this session, we will hear from women technologists who are leveraging cloud technology to create a more inclusive and diverse tech ecosystem.

Google’s Women Techmakers program provides community, visibility and resources for women in technology.

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Human 2 Human is a transformational inclusion and belonging experience that breaks learning paradigms using experiential elements and activities. Designed for leaders and using a human-centered approach, this experience moves leaders to examine their lived experiences and make different decisions – all in service of building stronger cultures, stronger companies, and stronger communities.

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Like your own organization, Google has many lines of business challenges which AI can help solve. Learn how Google is using its own AI technologies to improve customer experience and product differentiation while increasing operational efficiencies and empowering its employees with AI-driven insights for better decision making. Hear from different business leaders in this panel session which will address some of the top GenAI use cases for Marketing, Customer Support, HR and Sales.

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