Gemini is a contextual, real-time assistant baked right into Workspace — that lets you become a better writer, visual designer, data analyst, and project manager. In this session, discover how Gemini for Google Workspace empowers your teams to build more creative campaigns, maximize follow-through with prospects, and accelerate business opportunities. See real-world use cases showcasing how Gemini automates tasks, boosts efficiency, and frees time to focus on higher value work – driving greater impact, revenue, and ROI.

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Join Google Cloud CEO Thomas Kurian and VP of Global Partner Ecosystem and Channels Kevin Ichhpurani for an insightful fireside chat on accelerating growth with the Google Cloud partner ecosystem. Discover game-changing customer success stories during our customer panel, and hear Colleen Kapase, Google Cloud VP of Channels and Partner Programs, reveal exciting new partner programs and announcements that will empower you to reach new heights.

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Simplify and automate Application Programming Interface (API) development and integration with Gemini. Design and build APIs faster, connect any application, and reduce errors with AI-powered insights.

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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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Explore the orchestration of Google Cloud technologies behind the AI Penalty Challenge. Discover how Gemini's language capabilities on Vertex AI, Firestore's data management, Android's device integration, and the power of Google Cloud work in unison. Learn problem-solving strategies for building scalable, AI-powered experiences.

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We will introduce some core Bigtable data concepts, write some data and explore it in the Cloud Console. Then we'll jump into using techniques to analyze the data in other tools, primarily BigQuery and Looker. We will set up the "Bigtable change streams to BigQuery" Dataflow pipeline, ingest data, query the change log in BigQuery and use Looker to create a visual dashboard. Throughout, we'll compare and contrast different ways to work with your big data in Bigtable to build a foundational understanding of best practices.

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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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In this session, Myle Ott, the Founding Researcher at Character.AI, will talk about how Character.AI is building a full-stack AI computing platform that empowers users to personalize their experience. Join us to learn how Character.AI is continuing to drive innovation to create more intelligent, responsive, and human-like AI systems.

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Discover how Germany's Koenig & Bauer, the world's oldest printing press manufacturer, teamed with Deloitte and Google Cloud to build an innovative, cloud-based digital printing solution, giving brands the ability to customize product packaging and deliver relevant information directly to consumers. We'll explore how this revolutionary new printing service enables elevated customer experiences, fosters operational efficiencies, and enhances compliance.

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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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Although cloud computing has the potential to save you money, many organizations face growing IT costs and struggle to keep their spending within budget. As one of the leading SaaS observability platforms, Datadog uses a massive amount of cloud resources and has worked diligently to keep our IT spending constrained. In this session, we’ll share the practices that we use to optimize costs and how you can apply them to reduce your spend, increase performance, and meet your business goals.

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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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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In this session, you will learn how you can leverage the most comprehensive and integrated enterprise-ready AI platform, Vertex AI, to unlock the power of foundation models, no matter the model's origin, first-party, third-party or even open. Engage in discussion with customers who have deployed production-grade generative AI with Vertex AI.

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Generative AI has emerged as a powerful tool for revolutionizing customer service, offering unprecedented capabilities to personalize interactions, assisting agents, providing insights and analytics, automating tasks, and enhancing customer satisfaction. This session will explore how the latest generative AI technology can be applied to transform key areas of customer service.

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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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The rapidly evolving cyberthreat landscape requires all organizations to be vigilant about their digital interactions and to take a proactive approach to cybersecurity. In this session, we’ll share how automatic defenses powered by Google AI in Gmail, Google Drive, and across Google Workspace protect your organization from various external threats, including new enhancements and best practices to help you build the best security posture for your organization. And our customers will share how they use Workspace to keep their organizations safe from cyberattacks.

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