Generative AI is transforming the way organizations work, but successful deployment requires thoughtful architecture and design. Come and learn how Onix has helped several customers across different industries seamlessly integrate Gen AI solutions across Google Workspace and Google Cloud, achieving significant business and technical value for those organizations.

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Learn to build inclusive AI products that are accessible to people with a variety of neurocognitive needs, such as ADHD, autism, and dyslexia, and disabilities involving speech, sight, and hearing. While representation is critical, creating truly inclusive AI products requires a more comprehensive approach that addresses systemic barriers and fosters a culture of belonging, in order to make products more accessible. We’ll explore the challenges of and opportunities for creating AI products for everyone.

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Join us in this fireside chat with Phillipp Schmid, Technical Lead of Hugging Face, a collaboration platform for the machine learning community where anyone can share, explore, discover, and experiment with open-source ML. Phillipp will talk about the benefits of open source going into production with generative AI applications – everything from versioning, evaluating, monitoring, and data drift. He will highlight the challenges of evaluating large language models (LLMs), including what works today and where we need to improve. Join us for his thoughts on the role of cloud computing in accelerating AI and how Hugging Face is leveraging it to build an open, ethical, and collaborative AI future.

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Developers choose PostgreSQL for its power, ecosystem, and enterprise-grade features. In this session, unlock best practices for building apps of all kinds with PostgreSQL. We'll cover Google Kubernetes Engine deployments, pgvector for generative AI development, performance optimization with caching, essential observability strategies, and more.

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Gemini in Looker has made the most complex data actions simple, letting you chat with your business data. The latest advancements in Google's business intelligence (BI) suite bring insights to your users and customers, and form the basis of your own data-driven applications. This session will show you how we are building the future of BI with AI at the center, and keeping our focus on an open ecosystem that enables you to bring all your important data and share it with your teams – all driven by generative AI.

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Curious to understand how Gemini in Gmail, Google Drive, and other Google Workspace apps can ground their generated responses based on your documents and emails while keeping your organization’s data private? Still have questions about what Gemini does and does not do with your data? Join this session to get answers to your questions, learn more about the built-in privacy and security controls in Gemini for Google Workspace, and understand how your organization can achieve digital sovereignty with Sovereign Controls.

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The democratization of AI has accelerated the development and deployment of powerful machine learning models. While this trend offers immense potential, it also raises critical concerns about security, privacy, and responsible AI governance. Join this session to learn how enterprises are using the Vertex AI platform to safely enable their organizations to build, customize, and use AI at scale.

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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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Join a groundbreaking panel of women leaders in data science and engineering as they unveil actionable strategies for building trustworthy and responsible AI. Dive into the power of diverse data, unmask hidden biases, and discover how these changemakers are shaping a future where technology serves all.

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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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It can be challenging to know where and how to start building with Generative AI. Join this introductory workshop to learn about the tools and techniques needs to get started building with foundation models. We show you how to experiment with Gemini in the Cloud console and evaluate the performance of Gemini for your specific use case.

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As machine learning (ML) systems continue to evolve, the ability to scale complex ML workloads becomes crucial. Scalability can be considered along two dimensions: expansive training of large language models (LLMs) and intricate distribution of reinforcement learning (RL) systems. Each has its own set of challenges, from computational demands of LLMs to complex synchronization in distributed RL.

This session explores the integration of Ray, Google Kubernetes Engine (GKE) and ML accelerators like tensor processing units (TPUs) as a powerful combination to develop advanced ML systems at scale. We discuss Ray and its scalable APIs, its mature integration with GKE and ML accelerators, and demonstrate how it has been used for LLMs and re-implementing the powerful RL algorithm, Muzero.

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After this session, customers will be able to: Quickly and easily train and fine-tune production AI models. Use their data and own their model. Train in the cloud or on-premises, pain-free.

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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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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.

Please note: seating is limited and on a first-come, first served basis; standing areas are available

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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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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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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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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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