Learn how to integrate generative AI capabilities with your Android. We’ll cover the solutions to run on-device gen AI inference for text and image generation. We’ll also explore how to use Gemini Pro’s advanced multimodal capabilities in your application.

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Join this hands-on presentation where we harness the power of Flutter, Firebase, and Gemini to build a dynamic, real-world application from scratch. You'll learn first hand how Firebase's Firestore and Storage streamline data management and media handling. The presentation will showcase the latest AI coding capabilities using Gemini, incorporating the generative AI Dart software development kit to create a glimpse into the future of intelligent apps.

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Startups are setting the bar high for innovation and impact with AI implementations. In this lightning round session, you’ll learn from some groundbreaking startups.

Resemble AI will talk about their cutting-edge text to speech engine integrated with Google's Gemma AI and Gretel.ai will show how they empower developers to create high-quality synthetic data. Learn about Writer AI large language models that are top-ranked on Stanford HELM's leaderboard, as well as their unique graph-based retrieval-augmented generation approach. Join us for a showcase in the latest AI innovation.

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Join us to hear from Adam Ghetti (Co-Founder at Adapter), Arvind Jain (Co-Founder and CEO at Glean), Alex Mashrabov (Co-Founder and CEO at Higgsfield AI) and Cody Coleman (Co-Founder and CEO at Coactive AI) who are leading the application of Generative AI in the enterprise and scaled consumer world. They will share how they’re using Natural Language to solve some of the biggest hurdles in the day-to-day lives of consumers and enterprises. Come learn how they foresee the evolution of Natural Language in the near term and how General AI is going to catalyze the answers to many problems that remain yet to be solved.

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In the fast-paced world of Cloud and AI, skills have an expiration date. The average lifespan of a skill is getting shorter, leaving many feeling like they're sprinting on a treadmill to keep up. Are your skills still relevant in this "Need for Speed" environment? In this session, we'll explore the critical need for skilling and reskilling in the age of Cloud. Get ready to fuel your Need for Speed with Google Cloud!

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Spend less time prepping data and more time gaining insights with Gemini in BigQuery. In this session, you'll discover how to visually transform your data with AI for streamlined analysis. Witness a live demo of BigQuery data preparation. Seattle Children's will demonstrate the transformative effect of AI on data engineer productivity and accelerating development. Plus, get a sneak peek into the exciting roadmap of features including expanded connectivity, continuous integration and delivery workflows, and robust data quality.

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Generative AI is only as good as its data. Join this session to explore the powerful synergy between Stack Overflow and Gemini and learn how they’re coming together to bring a new level of productivity through cutting-edge AI tools backed by accurate data foundation trusted by millions of developers. The speakers will showcase where developers can benefit from the enterprise and security support you’ve come to expect from Google, with accurate and trusted knowledge that’s made Stack Overflow a go-to resource for all developers.

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AI has transformative potential. But to deliver real value for the enterprise, AI must drive action—at speed, at scale, safely, and responsibly. In this session attendees will learn how the UiPath Business Automation Platform, together with Google's industry-leading cloud infrastructure and AI services propel businesses to new heights and fuel growth. 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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In a world where information is conveyed through various forms such as text, images, and videos, Google's Gemini has emerged as a game-changer and exposed new possibilities for what you can do. This session will explore how workplace apps like Box are leveraging Google’s latest LLM’s to help customers tap into the knowledge within their organizations by combining AI with their business content. The this session will delve into how Box AI is utilizing the latest models to enable human-like comprehension of all types of information found in documents, including text, images, audio, and video to unlock new possibilities for innovation and efficiency. Join us to revolutionize the future of work. 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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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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The United States Patent and Trademark Office has improved the quality and efficiency of their patent and trademark examination process by implementing AI-driven technologies. They partnered with Accenture Federal and Google Cloud to establish a scaled system for Patent Search in record time. Learn how the traditional examiner workflows were augmented with new capabilities for faster and more relevant searches. 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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Your transactional data powers many applications – from Analytics to generative AI and interactive online systems. AlloyDB unifies all these workloads onto a single, high-performance platform to extend your real-time data. This session dives into two built-in features: AlloyDB AI and the Analytics Accelerator. We'll show the key technologies behind these features, including Google's fast vector search and the columnar engine that enables fast analytical queries, hybrid transaction, and analytics use cases. We’ll share how customers simplified their Analytical and gen AI apps with these two features.

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Keynote overview: Innovation has changed over the years and is changing at even more rapid paces than ever before. In this discussion we will dissect how bringing intentionality to innovation has not just built exciting new products, but has bettered society by serving more people, better. This will be a discussion around responsible innovation, how teams and consumers should think about technology and its impact, and how companies have a responsibility to innovate with intention to move towards a more inclusive future, including thinking about responsible AI and proper research during the innovation process.

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Ori Goshen, Co-Founder and Co-CEO of AI21 Labs, is a seasoned entrepreneur who previously co-founded Crowdx and developed the first-ever Voice over Internet Protocol and messaging app for iPhone and Android.

Get his unique perspective on the emergence of small, specialized models in the generative AI space and how building a strong partnership with Google Cloud was integral to their trajectory. AI21 Labs continues to innovate by building reliable, practical, and scalable AI systems for enterprises to accelerate the use of AI in production.

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Learn how the DoD is using AI at the edge to improve cancer detection for service members and veterans. The Augmented Reality Microscope (ARM) is deployed at remote military treatment facilities around the world. The prototype device is helping pathologists find cancer faster and with better accuracy.

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Build AI-powered workflows and app integrations with Google Workspace. We’ll share our vision for Gemini-powered workflows that are seamlessly integrated across our Workspace apps – built in a way that the users hardly notice it’s a workflow they are creating. We’ll also cover the latest news on Google Workspaces platform and ecosystem capabilities in Google Meet, Google Chat apps, and Smart Canvas. Also, we’ll share the latest integration news for Gemini for Google Workspace, including Salesforce and a new partnership.

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Leveraging the remarkable performance and ample memory capacity of the Google Cloud's TPU v5p and AI Hypercomputer, Lightricks successfully trained our generative text-to-video model without splitting it into separate processes. This optimal hardware utilization significantly accelerates each training cycle, allowing us to swiftly conduct a series of experiments using a TPU v5p - 128 pod. The ability to train our model quickly in each experiment facilitates rapid iteration, which is an invaluable advantage for our research team in this competitive field of generative AI.

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The key to maintaining a strong cloud security posture is to build from the start on a robust foundation of baseline security controls. Google Cloud’s Security Foundation provides recommended controls to common cloud adoption use cases, including infrastructure modernization, AI workloads, data analytics, and application modernization. In this session, you’ll learn how to start secure and stay secure in the cloud using the Security Foundation.

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Disaster Ready with Google Cloud: Hawaii's story of rapid AI deployment for community support. Imagine facing a disaster and needing immediate assistance. How can you ensure communities receive the support they need quickly and efficiently? Join us as we explore how Hawaii's Department of Human Services leveraged Google's Contact Center AI platform to seamlessly scale up during emergencies. You'll also learn how the Hawaii Department of Labor and Industrial Relations stood up a fully functional call center within 24 hours in response to the Maui wildfires. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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In this mini course you will be introduced to Vertex AI, and will explore the three key phases of the machine learning workflow in Vertex AI—data preparation, model training, and model deployment - and how different products in Vertex AI can support you during each phase. At the end of the course, you will be able to practice building a machine learning model with AutoML in a live lab environment.

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Unlock powerful cloud solutions through the Intel and Google Cloud partnership. Discover the latest Xeon-based instances and services, alongside Intel's optimization tools, designed to empower you to manage and optimize your infrastructure with unmatched efficiency and performance. 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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Training large AI models at scale requires high-performance and purpose-built infrastructure. This session will guide you through the key considerations for choosing tensor processing units (TPUs) and graphics processing unit (GPUs) for your training needs. Explore the strengths of each accelerator for various workloads, like large language models and generative AI models. Discover best practices for training and optimizing your training workflow on Google Cloud using TPUs and GPUs. Understand the performance and cost implications, along with cost-optimization strategies at scale.

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Generative AI has the potential to transform the way we live, work, bank, and invest. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency in banking. The session will also feature customer success stories and a discussion with banking executives at the forefront of using generative AI.

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Join this fireside session with Dario Amodei (CEO and Co-Founder, Anthropic) and Elad Gil (Entrepreneur, Investor and Startup Helper) as they discuss real-world applications of gen AI and the impact on cost, productivity, and revenue.

Hear their perspective on challenges like hallucination rates, jailbreaks, model deception, and high latency - and opportunities for large language models (LLMs) to drive transformation. Get their point of view on how we can collectively shape the future trajectory of AI through policy efforts, groundbreaking societal impact research, and collaborative initiatives.

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Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today’s analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines and how HCA Healthcare is using them within its data ecosystem.

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