How do you sneak in, take the largest and most business-critical infrastructure in a company, and migrate it without alerting any user or even internal employees? We'll share the journey of how it all started with EA SPORTS FC™, what we did along the way, and whether we tripped any unwanted wires at the end. You will learn about the technologies and services we leveraged, and perhaps about our future stealth missions – if the briefing doesn't self-destruct in five seconds.

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We'll explore how integrating AI, serverless computing, data analytics, and APIs can revolutionize the retail landscape. Learn how Google Cloud Run, Apigee, BigQuery, and Vertex AI collaborate to create personalized shopping experiences, streamline operations, and drive sustainability. Key takeaways include implementing conversational AI for enhanced customer interaction, leveraging BigQuery for data-driven insights, and using Cloud Run for efficient, scalable retail solutions.

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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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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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Prioritizing a culture of learning became Ford's recipe for cloud success. Partnering with Google Cloud, Ford trained over 16,000 employees, accelerating deployments, slashing technical debt, and unlocking AI's potential for a software-first future. Learn how Ford built an "army of problem solvers" and democratized data to drive innovation in the age of AI.

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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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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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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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Large language models offer capabilities that overlap with more traditional approaches to natural language processing tasks like translation. Multimodal large language models have an even broader overlap with traditional speech and image models. You can now choose which approach best suits your needs. Here, you will learn about their strengths and weaknesses compared to neural machine translation techniques and receive an overview of the latest advancements in our SOTA Cloud Translation API, combing ease of use with contextual capabilities of generative AI models, to enhance our customers' translations at scale. Experience how new models trained to perform both transcription and translation can go from speech to text in a target language using one large model.

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Liberty Shared Services processes hundreds of thousands of invoices annually on behalf of its customers - a necessary but resource-intensive task related to varying invoice formats, globally diverse taxes, currencies, and other complexities. Find out how Liberty Shared Services and Datatonic developed an intelligent invoice-matching solution to address this challenge using Google Cloud, and how consequently, they are achieving significant operational efficiencies and cost savings, including slashing invoice processing costs by 70%.

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Explore the world of artificial intelligence (AI) with insights straight from Dialpad AI customers. Discover firsthand how AI is making a significant impact on business decisions, from the intricacies of its implementation to the reasons behind its effectiveness. Join our panel discussion with Dialpad customers to gain valuable perspectives on the transformative power of AI in driving business success.

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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Join McKinsey to learn how we can leverage our accelerator for rapid development of enterprise GenAI applications. In this session, we will explore strategies to overcome technical and operational challenges that enterprises encounter during the implementation of GenAI applications. Additionally, we will delve into the process of transitioning beyond the initial proof of concept stage. 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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Learn how to deploy your first summarization Gen AI application easily with new Jump Start Solution in 7 minutes. Then we will show how to customize your deployment (e.g. change prompt to auto customer compliant reply) with terraform in order to achieve Gen AI application Infrastructure as Code for better automation, security, efficiency, reliability, consistency and speed to market.

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This exciting panel showcases healthcare startups boldly disrupting the industry with AI, from diagnosis to personalized wellness. Prepare to be inspired by RadAI, who are reimaging clinical radiology and protein folding analysis with the power of AI, and Sami, as they transform patient care with AI-driven medical history analysis and actionable recommendations. Cellino Bio will also showcase how they are pioneering AI-guided stem cell therapy development for faster, more effective treatments.

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This presentation explores deploying retrieval augmented generation (RAG) on Vertex AI Search to enhance QAD's internal data search (Jira, Confluence, Google Sites). Discover how GenAI improves query responses, utilizing a user-friendly web app on Google App Engine to counteract the loss of institutional knowledge. Join us for insights into this innovative enterprise search solution. 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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Discover what’s next with AI and data. Salesforce and Google Cloud are changing the game, bringing AI research and innovation directly to your data. Dr. Ali Arsanjani, Director of AI/ML Partner Engineering at Google Cloud & Head of AI Center of Excellence, and Kaushal Kurapati, SVP of AI, will discuss how the joint companies are empowering customers to make more insightful decisions, act faster, and drive better business outcomes using all of their customer data. Get the ins & outs from these AI experts to accelerate your journey

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The advent of Generative AI has ushered in an unprecedented era of innovation, marked by the transformative potential of Large Language Models (LLMs). The immense capabilities of LLMs open up vast possibilities for revolutionizing business ops and customer interactions. However, integrating them into production environments presents unique orchestration challenges. Successful orchestration of LLMs for Retrieval Augmented Generation (RAG) depends on addressing statelessness and providing access to the most relevant, up-to-date information. This session will dive into how to leverage LangChain and Google Cloud Databases to build context-aware applications that harness the power of LLMs. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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As audiences demand more content, media companies are under pressure to keep up. In this session, we’ll explore how artificial intelligence (AI) can be used by media companies to not only keep pace with soaring demands for content, but also to exceed them. We’ll explore how media companies can empower their teams to develop content faster and more efficiently, featuring Vertex AI. We’ll also delve into ways media companies can use AI to maximize the value of their existing library, such as AI-powered personalized recommendations.

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Industry leaders from Netflix, Bristol Myers Squibb, Airbus, and Nubank come together to share how generative AI is driving transformative impact and accelerating workflows across industries.

Discover how AI is slashing drug discovery timelines, boosting efficiency in areas like contracting, technical documentation, and customer support. Explore how Google Vertex AI's model garden empowers the creation of custom AI models trained on your own data, and how Google Workspace seamlessly integrates generative AI for a user-friendly experience for all employees.

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Generative AI is a rapidly evolving field with the potential to revolutionize the marketing landscape. By providing insights into customer behavior, accelerating creative workflows and enabling media optimization, generative AI can help marketing leaders reach new audiences, save time and money, and improve campaign effectiveness.

We’ll share Google Cloud’s perspective on how marketing leaders can make the most of this moment – driving real business outcomes today, while also ensuring your organization is set up for success tomorrow.

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SAP, Grow, and RISE users, transform your business: Leverage Google Cloud's BigQuery, Cortex Framework, Vertex AI and generative AI to unlock data's potential. See how Pluto7 integrates for a smarter supply chain for better customer experience with better demand-sensing, forecasting, planning inventory, reducing defects and more. Turn your SAP and non-SAP data into action, simplify processes and drive efficiency with gen AI and Gemini. Join us to elevate your business with real-time insights and strategic decision-making.

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NVIDIA AI on Google Cloud provides all the essential tools, frameworks, and models needed to develop and deploy custom models and generative AI applications. This Cloud Talk will share the latest NVIDIA technologies available on Google Cloud to rapidly enable enterprises to take their LLMs and generative AI applications from pilot into production. 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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Introducing Google Kubernetes Engine (GKE) Threat Detection powered by Security Command Center (SCC). Event Threat Detection protects your use of Google Cloud from the Identity layer up through Network layer detections. Discover how GKE and SCC deliver a better-together integrated experience to detect threats against the container infrastructure.

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In this session we will show how you can query, connect, and report on your data insights across clouds, including AWS and Azure, with BigQuery Omni and Looker. Reduce costly copying and customization and get answers quickly, so you can get back to work.

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