In this session, Fortinet and Google Cloud will jointly present on how Fortinet's AI-powered security solution integrated with Google Cloud's native security services can help organizations make better informed decisions, rapidly respond to threats, and save time on even the most complex tasks. 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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Uncover the power of Gen AI in simplifying the daunting task of application and database modernization. From enhancing developer productivity to facilitating seamless migrations, this session offers a deep dive into real-world transformations powered by AI. Join us for an engaging demonstration on elevating your modernization journey with Gen AI. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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In this spotlight lab, you will learn how to use Gemini, an AI-powered collaborator in Google Cloud, to navigate and understand different areas of security in your environment in Security Command Center.

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This presentation explores deploying retrieval augmented generation (RAG) on Vertex AI Search to enhance QAD's internal data search (Jira, Confluence, Google Sites). Discover how GenAI improves query responses, utilizing a user-friendly web app on Google App Engine to counteract the loss of institutional knowledge. Join us for insights into this innovative enterprise search solution. 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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Dr. Rhiju Das will be hosting a pop-up meetup for anyone working on AI and machine learning for Bio. Dr. Das is a Professor of Biochemistry at Stanford University School of Medicine and has been an organizer of the "Stanford Ribonanza RNA Folding" Kaggle competition & the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" Kaggle competition. All are welcome!

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Go is the language of the cloud: Startups, enterprises, and cloud providers themselves have long relied on Go to build and operate their business-critical systems and infrastructure. Now, with the onset of generative AI, developers can once again leverage Go’s signature capabilities to productively build scalable, secure, and production-ready AI-powered applications.

In this session, we’ll review Go’s growing AI ecosystem and walk through examples of how developers can integrate their Go services with both managed and open-source AI models.

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Discover what’s next with AI and data. Salesforce and Google Cloud are changing the game, bringing AI research and innovation directly to your data. Dr. Ali Arsanjani, Director of AI/ML Partner Engineering at Google Cloud & Head of AI Center of Excellence, and Kaushal Kurapati, SVP of AI, will discuss how the joint companies are empowering customers to make more insightful decisions, act faster, and drive better business outcomes using all of their customer data. Get the ins & outs from these AI experts to accelerate your journey

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Enabling generative AI powered applications on-premise can be challenging due to the complexity of managing infrastructure, the massive scale of data, and security and compliance. Customers with stringent data residency requirements can now access large language models (LLMs) that can be easily integrated in their applications automating natural language tasks such as transcription, text classification that make their workforce productive, or other application areas such as network mapping.

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Not every organization is adequately equipped to apply generative AI; you need the best tool for the job. Whether your organization is building security products or you’re a security analyst needing to quickly assess malicious behavior using signals from a variety of systems, this session shows how you can leverage generative AI across different use cases to more effectively and efficiently address your security challenges. Broadcom, a partner and trusted tester for AI security, will also share some best practices and provide insights from their experience.

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This session will highlight new capabilities of Gemini for Google Cloud that allow it to directly integrate with your Google Cloud infrastructure and data to provide highly personalized answers to questions about your cloud environment in real time. We’ll show how Gemini for Google Cloud can help you optimize workloads, observe your infrastructure and applications, and troubleshoot issues by using AI to query your cloud environment and provide tailored insights.

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The advent of Generative AI has ushered in an unprecedented era of innovation, marked by the transformative potential of Large Language Models (LLMs). The immense capabilities of LLMs open up vast possibilities for revolutionizing business ops and customer interactions. However, integrating them into production environments presents unique orchestration challenges. Successful orchestration of LLMs for Retrieval Augmented Generation (RAG) depends on addressing statelessness and providing access to the most relevant, up-to-date information. This session will dive into how to leverage LangChain and Google Cloud Databases to build context-aware applications that harness the power of LLMs. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Join Kranti Parisa, Vice President and Head of Product Engineering at Dialpad, as he walks you through mastering the art of integrating AI for an enhanced customer experience (CX). In this session, you’ll learn how to embrace the shift towards AI-first CX and leverage customer intelligence for informed decision-making. Seize the opportunity to optimize your contact center, align with evolving customer needs, and unleash the potential of AI for unparalleled service excellence.

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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RAG (retrieval-augmented generation) systems ground generative AI models in your own data, ensuring factuality, relevance, and control in the performance of your enterprise applications. However, building a RAG system from scratch is complex. In this session we'll share how Vertex AI Search can serve as an out-of-the-box RAG system for enterprise applications, handling data management, embedding, indexing, and retrieval with minimal setup time. Follow along to see how you can build and deploy a RAG-powered app in minutes and hours.

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Deploying AI to production can be bafflingly complex. Learn how Google Cloud is bringing its over two decades of expertise in productionizing planet scale AI to our cloud customers with the AI Hypercomputer architecture. It’s a groundbreaking supercomputing architecture built on performance-optimized hardware (TPUs, GPUs), open software (PyTorch, Jax, Kubernetes), and tailored consumption models that optimize efficiency and productivity across AI training, tuning, and serving. Plus, gain valuable insights from our customers Kakao Brain and Nuro on their journey to deploying large scale AI on Google Cloud.

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Discover the latest innovations within Google's machine learning ecosystem to help you navigate technology to bring ML to any device, website, or app. Uncover the power of generative AI with Gemini. From ideas to accelerated workflows, learn how to leverage Gemini’s capabilities for creative text formats, code generation, and more.

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Identities, access controls, and organizational guardrails are at the heart of your cloud security architecture. Google Cloud Identity and Access Management (IAM) is evolving, making it easy for you to onboard your workforce and workloads and empower operators and developers with friction-free access experiences. In this demo-packed session we will cover how AI is transforming Cloud IAM, our Custom Org Policy service that helps you define a strong security posture, and new security controls that help guard against insider threats and risk of data exfiltration. We will also share exciting updates on our new cloud-native capabilities for privilege management (PAM) and entitlement management (CIEM).

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As audiences demand more content, media companies are under pressure to keep up. In this session, we’ll explore how artificial intelligence (AI) can be used by media companies to not only keep pace with soaring demands for content, but also to exceed them. We’ll explore how media companies can empower their teams to develop content faster and more efficiently, featuring Vertex AI. We’ll also delve into ways media companies can use AI to maximize the value of their existing library, such as AI-powered personalized recommendations.

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Web3 offers the promise of decentralized and user-controlled applications, but security remains a persistent challenge. Mysten Labs, a company founded by five ex-Meta tech leads, has been leading the charge in AI-powered blockchain security. They created an internal red team that integrated Google's AI models, Codey and Gemini, and leveraged Vertex AI for continuous threat monitoring, exposing critical software bugs within open-source projects. Working with Google Cloud has helped Mysten Labs drive innovation with continuous security audits, bot detection, and stress testing to detect vulnerabilities before malicious hackers do. Join us to discover how General AI can help you build the next generation of secure Web3 applications and see firsthand some of the most surprising vulnerability findings.

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Alejandro Matamala Ortiz is the Co-Founder and Chief Design Officer of Runway, an applied AI research company shaping the next era of art, entertainment, and human creativity. Runway has pioneered research in multi-modal AI systems by applying deep learning techniques to audiovisual content, building a future where content creation is accessible, controllable and empowering for creatives. Join us as we speak to Alejandro about the intersection of design, technology and creativity as generative AI becomes ubiquitous. Learn his perspective on the importance of designing flexible products and solutions, to deliver value for users today and enable an agile business model for the future.

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Uncover how Accenture leads the charge in harnessing Google's cutting-edge Generative AI technologies to develop innovative client solutions. This session features a captivating live demo that highlights the game-changing potential of Natural Language Search and Q&A functionalities within a client portal. Explore how these tools navigate through technical documentation, incidents, and threat intelligence, providing unparalleled insights into business operations and critical incident management. Witness how Accenture is not just keeping pace with the AI revolution but actively shaping its trajectory, offering a glimpse into the future of business intelligence and operational efficiency.

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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Industry leaders from Netflix, Bristol Myers Squibb, Airbus, and Nubank come together to share how generative AI is driving transformative impact and accelerating workflows across industries.

Discover how AI is slashing drug discovery timelines, boosting efficiency in areas like contracting, technical documentation, and customer support. Explore how Google Vertex AI's model garden empowers the creation of custom AI models trained on your own data, and how Google Workspace seamlessly integrates generative AI for a user-friendly experience for all employees.

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In this session, you will learn how Rent the Runway (RTR) relies on MongoDB Atlas on Google Cloud to mix their automation hardware with their software, needing a robust, flexible, and intuitive data platform. We’ll dive into some reference architecture, highlighting some key integrations, such as Google Kubernetes Engine. We will then discuss RTR’s AI strategy, discussing how they’re approaching AI tools for their products. Lastly, we’ll discuss RTR and MongoDB’s mission of sustainability. Q&A to follow.

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Generative AI is a rapidly evolving field with the potential to revolutionize the marketing landscape. By providing insights into customer behavior, accelerating creative workflows and enabling media optimization, generative AI can help marketing leaders reach new audiences, save time and money, and improve campaign effectiveness.

We’ll share Google Cloud’s perspective on how marketing leaders can make the most of this moment – driving real business outcomes today, while also ensuring your organization is set up for success tomorrow.

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Innovators rely on Spanner for its unmatched scalability, hands-free management, and leading price performance. Learn about the latest innovations in AI, analytics, and efficiency that make Spanner more powerful and affordable for customers. ANZ Bank will share the journey where they reimagined their retail banking experience to deliver more personalized services to their valued customers.

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Discover how Vertex AI Search leverages generative AI including Google Cloud's latest Gemini models to power high quality search experiences grounded in your data. We’ll share how you can increase customer and employee satisfaction with personalized search and recommendations experiences. Learn how Vertex AI Search can help you ground gen AI apps in your data functioning as an information retrieval and answer generation system. Discover the latest product enhancements and discover how customers are transforming search capabilities in the enterprise.

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