Vertex AI offers capabilities to customize and tune foundation models on your data for improved performance, as a unique offering to your customers. This includes techniques such as supervised fine-tuning (SFT), reinforcement learning from human feedback, and distillation. We will dive deep into SFT, learn how Vertex lets you customize Gemini models with hundreds of examples cost-effectively. We will also discuss distillation, a technique that uses a teacher model to train smaller student models to perform certain tasks better, at a lower cost and with lower latency. You will also get tips from Palo Alto Networks, based on their real-world experience.

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Embark on a journey through the diverse landscape of website deployment options available on Google Cloud. In this session, we’ll guide you through various ways to deploy a website, offering insights into the array of tools and services Google Cloud provides for hosting, scaling, and optimizing web applications. From traditional virtual machine instances to containerized solutions with Kubernetes, and serverless deployment with Cloud Functions and Cloud Run, this session will cover the entire spectrum of deployment strategies.

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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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Kubernetes is the de facto standard for running modern, containerized workloads in cloud. Google open-sourced Kubernetes 10 years ago and has built the easiest to use and most scalable managed service in Google Kubernetes Engine (GKE). Join this keynote to learn how top customers are leveraging GKE to run their businesses and to hear about the latest innovations and future directions of GKE.

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With built-in multi-modal capabilities, Gemini enables powerful solutions spanning across text, images, and videos. In this session, you will learn about real-world use cases and best practices for building Gemini-powered applications that address compelling business use cases. You also learn how enterprises are driving transformation with Gemini on Vertex AI.

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Paramount+ currently relies on manual processes to create the essential metadata and video summaries used across its platform. These elements are crucial for showcasing content and creating personalized experiences for viewers. Join us as we explore how the Paramount+ team harnessed the power of VertexAI Text Bison to streamline this process. Discover their approach using prompt engineering best practices and the impressive results achieved by automating these key content tasks.

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Empower your organization with the future of app development: no-code, AI-powered solutions built using Google AppSheet and Google Cloud AI. Business users will discover the ease of automating processes while IT leaders will learn to empower their teams and accelerate time-to-value through powerful AI integrations. Join us to discover how these innovative tools can transform your organization, enabling everyone to drive remarkable results and collaborate effectively across devices and data sources.

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Google is driving incredible transformation in the Public Sector with Assured Workloads. In this session, you’ll learn about the benefits of running secure and compliant services on top of commercial Google Cloud products. NASA and Palo Alto Networks will share their experiences in reaching their compliance objectives using zero-trust and compliance-as-code technologies to create easily reproducible compliant environments. Join us to learn how to easily address 15+ compliance boundaries such as Criminal Justice Information Systems (CJIS), FedRAMP Moderate, FedRAMP High, International Traffic in Arms Regulations (ITAR), and the Department of Defense (DoD) Impact Level 2, 4, and 5.

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Learn how to manage complex, large-scale Oracle or SQL database migrations and embrace a smooth, efficient journey with our database migration framework. Built on best practices and powered by cutting-edge automation tools, our team of experts takes the stress out of migrating your critical data. It all starts with our free Database Migration Assessment (DMA) , our brand-new first-party tool. Our framework empowers you with a repeatable process for future migrations, giving you the confidence to tackle any database move with ease.

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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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Gemini in VSCode and JetBrains integrated development environments can unlock significant improvements in software delivery and security. In this session, you’ll learn how to harness the power of Code Transformations to streamline multiple tasks of the software development lifecycle, such as code optimization or troubleshooting. You’ll also learn how Commerzbank has been leveraging AI to accelerate its software delivery velocity and code quality/security.

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Bell, a telecommunications and technology services leader in Canada, is undergoing a comprehensive data modernization initiative. This transformation aims to dismantle organizational data silos, empowering cross-functional collaboration and fostering a culture focused on exceptional customer experience. By strategically leveraging data as a core asset, Bell will accelerate innovation, drive growth, and develop cutting-edge products and services to meet the evolving needs of its customers. This discussion examines Bell's approach to migrate key data platforms, exploring the challenges, strategies, and early outcomes of their modernization journey. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Harness the power of generative AI agents for process automation and rich conversational experiences. We will cover the practical applications of AI agents and how your teams can build them in a low- to no-code development environment. Learn to build, test, and deploy AI-powered conversational agents that seamlessly integrate into your workflows. Discover techniques for in-depth performance analysis and continuous optimization of your AI agents. Join us and elevate your business operations with the transformative potential of generative AI.

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Google Kubernetes Engine (GKE) provides cost efficiency and high performance to run AI inference on Google tensor processing units (TPUs) and NVIDIA graphics processing units. Join us to learn how Anthropic runs its inference workload for Claude on GKE, and how Anthropic achieved better price-perf on TPU v5e on GKE. We’ll also learn how GKE advanced management capabilities simplify Day-2 maintenance, and how Google Cloud Customer Support makes the entire experience a blast.

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Complying with industry and national regulations is a constantly evolving challenge that limits the pace of development.

This hands-on session will show you how to: - Create a strongly defined landing zone, compliant with external standards, and company best practices - Monitor for ongoing compliance to standards such as CJIS, FedRAMP and ITAR - Show how ISVs and services companies can serve their customers in regulated industries using Compute Engine

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As developers globally start to adopt generative AI, organizations are grappling with how to secure their gen AI developer workflows. Snyk and Google Cloud are partnering to address this problem with an integrated solution through Snyk Code and Gemini. In this session you'll learn how Snyk and Gemini work together to protect your organization's source code, without compromising the developer productivity gains that can be achieved with gen AI workflows.

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The State of Kubernetes Cost Optimization report (https://goo.gle/state-of-kubernetes-cost-optimization) found that more than expected Kubernetes Pods aren’t setting accurate resource requests and limits. This can lead to workloads being abruptly terminated, and OSS Kubernetes doesn't adequately track those terminations. We invite you to this talk to learn how Google Kubernetes Engine and Google Cloud Logging comes to the rescue.

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Hear fast pitches from the startups in Google’s AI first Accelerator. These startups represent the cutting edge of early stage AI technology and will be partnering with Google to accelerate their growth and technology over the 10 week program.

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Generative AI (Gen AI) is a transformational opportunity for businesses to reshape user experiences. This session explores real-world success stories from leading companies in Consumer Electronics, Mobile, eCommerce, and Gaming sectors. The forum is ideal for business leaders, product managers, and developers to see how Gen AI can drive personalization, knowledge extraction, operational efficiency, and user protection within their own organizations.

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Ditch legacy and embrace freedom with AlloyDB Omni, your hybrid and multicloud enterprise database. Run anywhere, from data centers to the public clouds of your choice, and unlock performance and ease of management. Elevate your apps with HTAP and built-in generative AI to build vector embeddings for lightning-fast search, remotely or locally – no connectivity needed. Simplify operations with the Kubernetes operator: automate lifecycle, HA/DR, and scale effortlessly. Learn more about AlloyDB Omni and supercharge your data strategy, anywhere.

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Learn how innovators like HighLevel are migrating to Firestore from MongoDB in order to realize significant total cost of ownership savings, while incorporating Firestore with AI to build differentiated solutions for their customers. This session will also cover new Firestore feature announcements.

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Join Will Grannis (VP and CTO of Google Cloud) and Lukas Biewald (Co-Founder and CEO of Weights and Biases) in a technical discussion about the trends they are seeing in successful generative AI implementations.

How can you get beyond experimentation to drive real user and business impact? How can you break down common technical barriers to accelerate development, make teams more efficient, and disrupt industries? Will and Lukas share practical tips that every technical leader should know based on the latest gen AI advances.

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While many organizations have threat intelligence as part of their security operations program, most struggle to apply it effectively, and lack the required resources and expertise to keep up with the latest threat actors and TTPs. In this session, we’ll unveil the new intelligence-driven approach in Google Security Operations (Chronicle), and how it can deliver turnkey security outcomes with threat intelligence that’s personalized, relevant, and seamlessly embedded.

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Decarbonize your engineering practices with Google Cloud tools and AI-enabled capabilities. Join this session to learn how Google Cloud can help optimize your cloud architecture for the planet. We’ll discuss new features of Carbon Footprint and integration with our latest AI tools including Gemini. Moreover, L'Oreal – the world’s #1 cosmetic company – will share its inspiring global sustainability program from factories to IT, as well as its practical strategies to greenify engineering practices with the help from Google Cloud’s tools.

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