Discover how approachable and versatile building custom generative AI solutions for Google Workspace can be with Google Apps Script. In this session, we‘ll explore how developers are creating innovative integrations between Gemini‘s powerful large language models and Google Workspace. Get real-world examples of how AI can enhance Google Workspace functionality, and learn about the potential of custom solutions to address unique needs. Get ready to be inspired – the evolution of leveraging AI within Google Workspace is just beginning.

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Web3 is garnering ever more attention by having a disruptive impact on games around the world. This past year, we’ve seen web3 ecosystems like Sequence, Polygon, Solana, and Aptos build and incubate their own game studios, while others have been partnering with game studios - from indie to AAA - to integrate web3 primitives into games and set the stage for a new generation of titles to delight players. This panel will explore what’s new, and what’s not so new about games as they relate to web3, and how companies leveraging this technology attract new players, create novel experiences, and unlock rewarding monetization models.

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This session explores how agencies are using Google Cloud to unlock critical data insights. These insights streamline operations and improve mission outcomes. You'll learn how these agencies are planning the responsible adoption of AI to further accelerate these gains. Discover how Google Cloud empowers agencies to better serve their communities, respond with faster services, and ultimately fulfill their missions with ever-increasing impact.

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Default service accounts provide the flexibility to get started, but often have excess permissions when used in production. How do we find a balance between ease of use for developers and the security demands in production environments? This session covers the common pitfalls that can occur with default service accounts, how to move beyond default service accounts and use custom IAM roles to follow the principle of least privilege, and how to automate alerts to balance the needs of developers and security teams.

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The emergence of foundation models and generative AI has introduced a new era for building AI systems. Selecting the right model from a range of architectures and sizes, curating data, engineering optimal prompts, tuning models for specific tasks, grounding model outputs in real-world data, optimizing hardware – these are just a few of the novel challenges that large models introduce. Delve into the fundamental tenets of MLOps, the necessary adaptations required for generative AI, and capabilities within Vertex AI to support this new workflow.

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Accessing mission-critical data in a nonintrusive fashion will be critical for enabling operational analytics, and with the evolution of generative AI, enterprises are building RAG-based gen AI applications that require access to operational data. Datastream is a simple, serverless data-streaming platform that organizes the ingesting, processing, and analyzing operational data to support AI/ML and RAG apps. Experts from RocketMoney and Intuit Mailchimp will share how they’re using Datastream to solve for Operational Analytics and beyond.

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Discover how Mercado Libre and Grupo Boticario utilize gen AI to transform their respective industries, enhancing product and content discovery. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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As the sprawling web of applications continues to expand, platform engineers today are grappling with ever-increasing security, reliability, and productivity challenges. Join our experts in this session to learn how AI-assisted automation can help platform engineers standardize API creation, automate spec generation and reviews, ensure comprehensive visibility across all enterprise APIs, enforce consistent security standards, and unlock new revenue streams.

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As generative AI applications mature, retrieval-augmented generation (RAG) has become popular for improving large language model-based apps. We expect teams to move beyond basic RAG to autonomous agents and generative loops. We'll set up a Weaviate vector database on Google Kubernetes Engine (GKE) and Gemini to showcase generative feedback loops.

After this session, a Google Cloud GKE user should be able to: - Deploy Weaviate open source on GKE - Set up a pipeline to ingest data from the Cloud Storage bucket - Query, RAG, and enhance the responses

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Developing GenAI applications quickly can represent a daunting challenge for today's businesses. But no longer. In this session, we'll demonstrate how Deloitte's AI Studio enables rapid development of compelling GenAI applications in no-code, low-code and pro-code environments, while working seamlessly with Google Cloud native tools. We'll explore the platform's suite of pre-configured capabilities and accelerators, and highlight use cases. 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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Want to get your everyday jobs done faster with expert-level help from Google Cloud’s latest generative AI assistant? Check out three things that you can try today to improve your productivity and up-level your operational game with Gemini in the Cloud Console at this session. We’ll cover advanced IT topics that can be made easier with Gemini in the console, and go beyond simple Q&A to build advanced, multiturn conversations that help enterprise-level IT admins augment their own expertise with Gemini.

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Explore how Geotab harnesses BigQuery to fuel a robust data-driven culture. With more than 80% of our teams and over 1,000 data pipelines depending on BigQuery, we efficiently process petabytes of data every day. This session will unveil essential strategies for boosting BigQuery's efficiency and cost-effectiveness vital for handling large-scale data operations. Participants will gain valuable insights into refining BigQuery operations to meet extensive data management demands.

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Document understanding drives business process automation across industries and is a key use case for leveraging generative AI in enterprise. Vertex AI provides a complete portfolio of products and building blocks for fast, cost-effective document processing. Join this session to learn how Vertex AI’s platform offerings work alongside Vertex AI Search and Document AI to support end-to-end document processing scenarios. Learn from SAP and Zebra Technologies on how they are leveraging Vertex AI to solve key business challenges.

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Getting insights from your business data should be as easy as asking Google. That is the mission for Looker – instant and insightful, able to alert you when it really matters and to guide you to impactful decisions faster than ever, powered by the most important information: yours. Join this session to learn about how AI is reshaping our relationship with data, and how Looker is leading the way.

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Vertex AI offers a range of Gemini models, each with different capabilities. Learn how to pick the right Gemini model for your use case and how to get the best performance. First, we explain how to map the modalities and properties of each model to your use case and functional requirements. Then we provide an overview of prompt design principles and how to craft effective prompts based on business requirements and language engineering considerations. Finally, we present prompt engineering strategies to ensure robustness and scalability of your prompts. This session is ideal for developers and prompt engineers seeking to maximize the value of Gemini on Vertex AI.

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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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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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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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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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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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Join us for an exploration of how Bayer and Insmed are leveraging Vertex AI and MedLM to revolutionize the healthcare landscape. Discover how these industry leaders are utilizing AI's power to accelerate drug discovery, enhance patient care, and unlock data insights. Leave with a newfound understanding of how Vertex AI and MedLM are transforming the industry and the potential they hold for the future of medicine. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Explore how BigQuery and BigLake power innovative data analytics solutions and walk through implementing data products powered by AI/ML for real-world applications. Learn from Google Cloud about the latest advancements in both technologies, with an emphasis on:

• BigLake's integration with Apache Iceberg for efficient AI/ML • How BigQuery serves as a foundational element in successful data mesh architectures

You will also hear from two leading customers, Trendyol and Snap, on their real-world journeys, demonstrating the transformative impact of these technologies on their analytics and AI initiatives at scale.

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What if your customer’s shopping experience could change with their mood or adapt to what they are specifically looking for today? With generative AI, retailers and consumer package goods companies can create an ultra-personal mind reader-type experience for their shoppers, across the omni-channel. Join Accenture and Google to learn more about how shopping can become hyper-personal, dynamic, and increase business outcomes.

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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Looking to bring artificial intelligence (AI) assistance to your development teams to increase their productivity? We’ll take you through the ways you can use Gemini in your code editor to expedite your application delivery. You’ll also learn how you can now customize Gemini with your own private codebase, with AI assistance deeply tailored to your organization’s libraries and coding conventions, and how Gemini can provide insights to help you understand its effects for your teams. We are joined by Capgemini who will share their own experiences of Gemini in coding.

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