As organizations look to embrace generative AI for their new digital experiences, they need industry-leading data & AI solutions. Join this interactive panel discussion with Manhattan Associates and Accenture to learn how they selected Google Cloud as their transformation partner. You will also hear how these organizations are building next-gen applications leveraging Google Cloud’s data & AI solutions.

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Join us in this fireside chat with Phillipp Schmid, Technical Lead of Hugging Face, a collaboration platform for the machine learning community where anyone can share, explore, discover, and experiment with open-source ML. Phillipp will talk about the benefits of open source going into production with generative AI applications – everything from versioning, evaluating, monitoring, and data drift. He will highlight the challenges of evaluating large language models (LLMs), including what works today and where we need to improve. Join us for his thoughts on the role of cloud computing in accelerating AI and how Hugging Face is leveraging it to build an open, ethical, and collaborative AI future.

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Developers choose PostgreSQL for its power, ecosystem, and enterprise-grade features. In this session, unlock best practices for building apps of all kinds with PostgreSQL. We'll cover Google Kubernetes Engine deployments, pgvector for generative AI development, performance optimization with caching, essential observability strategies, and more.

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Research indicates that organizations that absorb generative AI fastest will see disproportionate business success. Accelerate and equip your organization to leverage generative AI by understanding a practical and pragmatic framework to build organizational muscle to drive business value. This workshop covers business use cases accelerated by Google Cloud solutions, showcases training opportunities across functional roles, and will include real time brainstorming and identification of actions.

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Gemini in Looker has made the most complex data actions simple, letting you chat with your business data. The latest advancements in Google's business intelligence (BI) suite bring insights to your users and customers, and form the basis of your own data-driven applications. This session will show you how we are building the future of BI with AI at the center, and keeping our focus on an open ecosystem that enables you to bring all your important data and share it with your teams – all driven by generative AI.

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How generative AI and geospatial data is being applied by the world's leading organizations to help prepare for the new regulation changes. With enhanced supply chain transparency, we are using AI to make complex geospatial data understood by consumers so they can make more informed decisions on the environmental impact of their purchases. Learn how Earth Engine can be leveraged for businesses that need to verify claims of zero deforestation across their global supply chain.

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Learn how Stagwell, a global marketing group of over 50 agencies in more than 34 countries, is transforming its business on Google Cloud with SADA. Follow their business transformation journey as they fully embrace AI and evolve the world of marketing by bringing clients and marketers together with co-operated SaaS solutions.

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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Generative AI can transform customer service, enhance employee productivity, automate business processes, and more. And by using Serverless, Google Cloud's “pay-as-you-go” compute platform to provide these experiences, you can focus on what's core to your business and leave the autoscaling to Google. In this talk, you'll learn how to run Google Cloud generative AI tools on Serverless, including how to use the Vertex AI Gemini API, how to use function calling to supplement a gen AI model with Serverless endpoints, and more.

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It can be challenging to know where and how to start building with Generative AI. Join this introductory workshop to learn about the tools and techniques needs to get started building with foundation models. We show you how to experiment with Gemini in the Cloud console and evaluate the performance of Gemini for your specific use case.

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Gemini is a family of generative AI models developed by Google DeepMind that is designed for multimodal use cases. The Gemini API gives you access to the Gemini Pro Vision and Gemini Pro models. In this spotlight lab, you will learn how to use the Vertex AI Gemini API with the Vertex AI SDK for Python to interact with the Gemini Pro (gemini-pro) model and the Gemini Pro Vision (gemini-pro-vision) model.

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After this session, customers will be able to: Quickly and easily train and fine-tune production AI models. Use their data and own their model. Train in the cloud or on-premises, pain-free.

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Coinbase is partnering with Google Cloud to propel their company to the forefront of AI innovation. Coinbase is poised to implement dozens of GenAI use cases this year, to augment the journeys of its employees and customers. As GenAI technology continues to evolve, Google's Model Garden offers Coinbase the flexibility to seamlessly integrate fundamental models like Gemini alongside third-party ones, empowering both their business and users. Join us to find out how VertexAI is helping Coinbase revolutionize the crypto industry, unlocking new possibilities and redefining the future of finance.

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Harnessing trends like Gen AI can unlock new opportunities, but many organizations are unable to activate their data due to fragmented data systems for analytics, AI, and ML which do not work together and slow innovation. Your data needs AI, and your AI needs data; requiring organizations to fine-tune models and ensure they are grounded in business reality using their own enterprise data. Join this session to learn and discuss the latest data and AI trends and gain practical approaches to ensure your data platform is AI-ready.

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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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Generative AI offers the opportunity to transform the healthcare and life sciences industries. It can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market. This session will feature specific use cases, customer success stories and a discussion with healthcare and life science organizations using generative AI to solve some of the industry’s most pressing issues.

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Without data maturity, the transformative powers of new analytics and generative AI tools will be limited. Deeply understanding your data can directly influence a learner’s performance and engagement. In this session, we'll discuss how a unified data strategy can unlock real-time predictive insights in education while future-proofing your company data assets.

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Working with the agility and flexibility of a digital native or a big tech innovator can feel like an impossible mountain to climb for traditional enterprises. But empowering your teams with the right tools, like generative AI, can make this vision a reality. Join this session to learn how your organization can adopt a more collaborative mindset and begin to identify your road map to embracing generative AI. Hear from two customers who have embarked on their journey of a new way to work and glean insights from their lessons learned in adopting Gemini AI in Google Workspace.

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Sonatype’s State of Software Supply Chain report recorded a 650% year-over-year increase in software supply chain attacks in 2021. With increasing security breaches classified as software supply chain attacks over the last few years, it’s vital to keep your software supply chain secure. Join this discussion with Google Cloud and executives from industry-leading independent software vendors in the Developer tools ecosystem. They’ll cover what's trending at the intersection of DevOps, Security, and generative AI and understand best practices to secure your software delivery by building an AI-powered end-to-end secure software supply chain.

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Explore your Looker data with natural language. This session dives into our open-source generative AI Looker extension, powered by Vertex AI large language models (LLM). Learn how to: - Ask questions using natural language: Explore data and gain insights intuitively - Deploy and manage: Understand the extension's architecture and set it up for your needs - Customize the extension: Change prompts if needed, give more examples, or fine-tune the LLM model for tailored results

Unleash the power of generative AI for data-driven decision making.

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Any new technology brings potential new risks, and generative AI is no exception. In this session, we will cut through the FUD around gen AI deployments - helping you understand the real risks, both existing and novel, with deploying AI systems in the cloud. We’ll also provide a framework for how to support the safe use of AI in your organization, so that security, privacy, and risk concerns, real and imagined, can be addressed effectively without slowing business velocity.

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