Explore the capabilities of RoostGPT in our upcoming session, an innovative testing platform at the forefront of generative AI and Large Language Models (LLMs). RoostGPT is engineered to redefine test case generation, enabling the creation of detailed and accurate test suites without the need for manual effort. It facilitates the automated generation of Unit, API, Integration, and Functional tests, significantly increasing productivity and expanding test coverage. 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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With cyber threats on the rise, the browser should serve as a key piece of an enterprise’s security posture. Join us to hear how you can use Chrome Enterprise’s cloud management console and JAMF to create a secure enterprise browsing experience for your organization. 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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Avery Dennison empowered their employees with generative AI to enable secure, flexible, and borderless collaboration for enhanced productivity to drive growth. During this insightful session, Avery Dennison, TCS, and Google Cloud will examine this innovative business transformation, utilizing an enterprise collaboration platform that automates business processes, builds reliability services, and focuses on self-service capabilities.

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 this session, we’ll explore the art of writing effective, multi-turn AI prompts and how Gemini, our most capable AI model, can help you achieve more than you ever thought possible. We’ll cover how large language models (LLMs) work and how outputs are based on the quality of an input. We’ll share practical tips on what makes great prompts and best practices for drafting prompts in Gemini, Gmail, Docs, Sheets, and Slides. You’ll leave this session empowered to prompt like a pro.

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Join us to explore the tech industry’s effect on global LGBTQ+ equity through an interactive and empowering session. We’ll identify and dismantle unconscious biases that show up in the workplace, and we'll discuss opportunities to build an industry that embraces LGBTQ+ identities. You’ll walk away with a better idea of how we can all reap the “cloud diversity dividend” – unlocking innovation and growth by making sure that everyone belongs.

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Have you ever wondered what it takes to build a unique multicustomer generative AI experience? How would you secure it? Scale it? Where would you start? This is the story of how our ambitious two-pizza team built an interactive custom LLM-powered chatbot in only two weeks. We'll cover what we learned, what we'd do differently, and what’s changed.

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Document use cases are a primary focus for generative AI implementations. Join us for a discussion on how Vertex AI is helping revolutionize the way customers process and gain insights from their documents. Commerzbank and Equifax will be our guests and will discuss how they’ve implemented document solutions using Vertex AI. Please note: seating is limited and on a first-come, first served basis; standing areas are available.

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Equifax will discuss its journey in consolidating its variety of legacy systems, and how it refined its mindset regarding denormalized document databases. Also, learn how they leveraged Firestore to rapidly build mission critical applications and optimize its total cost of ownership (TCO). This session will also cover new Firestore feature announcements.

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The number of ISV and startup solutions being transacted on Google Cloud Marketplace continues to grow, with the number of third-party transactions growing 1.5X year over year since 2022. Learn how your startup can accelerate revenue growth and go-to-market on Google Cloud Marketplace, including co-selling with Google Cloud and driving success in AI.

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This session is for AI/ML and data practitioners who want to build AI/ML data pipelines at scale and select the right combination of block, file, and object storage solution for your use case. Learn how to optimize all your AI/ML workloads like data preparation, training, tuning, inference, and serving with the best storage solution and easily integrate them into your Compute Engine, Google Kubernetes Engine, or Vertex workflows. We’ll also dive into how to optimize analytics workloads with Cloud Storage and Anywhere Cache.

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Learn from a panel of leading security companies about why they build customer SaaS on Google Cloud, and how they’re partnering with Google to use generative AI to drive transformational change in the industry.

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JAX is an ML framework that has been widely adopted by foundation model builders because of its advantages like high performance, scalability, composability, and ease of programmability. In this session, we will showcase the entire ecosystem supported by JAX for end-to-end foundation model building from data loading to training and inference on both TPUs and GPUs. We'll highlight the entire JAX stack, including high performance implementations for large language models and diffusion models in MaxText and MaxDiffusion. Learn how customers such as Assembly AI, Cohere, Anthropic, MidJourney, Stability AI, and partners like Nvidia, have adopted JAX for building foundation models on Google Cloud and beyond.

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Join an insightful session dedicated to empowering companies in their pursuit of end-to-end generative AI success on Google Cloud. This discussion will guide organizations through their data and AI journey, highlighting proven strategies and pitfalls to avoid. Through customer stories, participants will gain valuable insights into real-world challenges and triumphs, offering a roadmap to seamlessly move from one stage of the AI journey to the next. Accelerate your generative AI maturity and unlock the full potential of your data, gen AI, and Google Cloud. 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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As we stand on the cusp of the generative AI era, industries are gearing up to harness the transformative power of AI. This panel session delves into the critical preparatory measures required for organizations to effectively navigate the generative AI landscape, including:

-The need for adequate volume and quality of data. -Identifying the right set of tools and technologies. -Choosing the right use case based on business value, ethics, and compliance.

Learn from leaders in a range of industries about how they are preparing for the gen AI era and beyond.

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As attackers get creative, organizations need to employ a defense-in-depth approach to mitigate data exfiltration risks and reduce the rising cost of a breach. Join us to hear from Charles Schwab, and Commerzbank on their security journey to mitigate these risks, and learn more about the Google Cloud platform security technologies, including VPC Service Controls and Organization Restrictions, and how they can be deployed to effectively address different threat vectors. Lastly, you’ll also hear from us on our latest innovation in this area, with a sneak peak at a new policy type.

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Relying on third-party-hosted artificial intelligence (AI) models may not always be an option for your application. You are also not guaranteed support for those model endpoints through your next software release. By hosting state-of-the-art AI models like Gemma in the same environment as AlloyDB Omni, you can run scalable generative AI apps on any cloud or on premises, for regulatory needs, with low latency. Learn from Neuropace how they run Omni for enterprise-grade vector search capabilities in their local environment, which contains sensitive customer workloads.

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Discover how government agencies are harnessing the power of artificial intelligence (AI) to streamline public health and labor services. Delve into the practical benefits of using AI to simplify scheduling, access medical records, and receive crucial information, as well as the transformative potential to provide citizens with a secure, personalized, and responsive experience. This session explores how document automation and natural language interactions enhance the claimant journey, leading to improved access and satisfaction. Learn how government agencies leverage AI to deliver efficient, inclusive, and impactful services to their communities.

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OpenTelemetry has become the standardized way of gaining visibility into application activity. There's a golden opportunity for security teams to work with wider IT organizations to leverage the benefits of improved observability, in modern environments based on GKE clusters. We'll look at combining data from the application layer with the other layers of a modern cloud native stack to get deep visibility into activity and show how this enhanced observability can improve everyone's security.

We'll look at combining data from the application layer with the other layers of a modern cloud native stack to get deep visibility into activity and show how this enhanced observability can improve everyone's security! 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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Use Google Cloud products to create architecture designs that are highly secure and robust. To protect your sensitive data and maintain trust with stakeholders, building a highly secure infrastructure is imperative to ensure the overall security and stability of an organization's digital presence. Attend the session to gain insights into the elements encompassed in a secure architectural framework with cloud native tools. 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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Google's cutting-edge ML infrastructure leverages millions of TPU and other accelerators deployed around the world. Learn how to efficiently manage this infrastructure with flexible consumption models tailored to your unique needs. We'll cover best practices and demonstrate real-world examples, such as Newo.AI building Digital Employees on Google Cloud and CentML.AI optimizing Goodput for Inference workloads.

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