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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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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Customers use Cloud SQL to run their business-critical applications. In this session, we will give you a comprehensive understanding of the various capabilities of Cloud SQL and best practices to maximize business continuity for the applications. The session will deep dive into Enterprise Plus edition features, how Cloud SQL achieves near-zero downtime maintenance, behaviors that affect availability and mitigations, all of which will prepare you to be an expert in configuring and monitoring Cloud SQL for maximum availability.

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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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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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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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With the surge of new generative AI capabilities, companies and their customers can now interact with systems and data in new ways. To activate AI organizations require a data foundation with the scale and efficiency to bring business data together with AI models and ground them in customer reality. Join this session to learn the latest innovations for data analytics and BI, and why tens of thousands of organizations are fueling their journey with BigQuery and Looker.

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Data Analytics, Level 300 In this session we will highlight CME Group's approach to enabling data access to our customers in non-traditional ways, making it easy for new customers to access CME Group data and how we have designed solutions to securely and efficiently provide access to public and private datasets to customers. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Creating captivating generative AI analytics demos is easy. But building a product that consistently delivers value and handles real-life data complexity is challenging. In fact, only 3%-10% of companies effectively utilize LLMs for production. Learn how Cox 2M, the commercial IoT division of Cox Communications has become able to make smarter, faster business decisions using one of the few production-ready implementations of generative AI. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Introducing Google Kubernetes Engine (GKE) Threat Detection powered by Security Command Center (SCC). Event Threat Detection protects your use of Google Cloud from the Identity layer up through Network layer detections. Discover how GKE and SCC deliver a better-together integrated experience to detect threats against the container infrastructure.

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Large Language Models (LLMs) have changed the way we interact with information. A base LLM is only aware of the information it was trained on. Retrieval augmented generation (RAG) can address this issue by providing context of additional data sources. In this session, we’ll build a RAG-based LLM application that incorporates external data sources to augment an OSS LLM. We’ll show how to scale the workload with distributed kubernetes compute, and showcase a chatbot agent that gives factual answers.

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Worried about compliance for your platform and containers? Google Kubernetes Engine (GKE) has you covered. This session unlocks the power of GKE Compliance Posture, your real-time dashboard for proactive risk detection and continuous compliance. You’ll be able to see your entire GKE compliance landscape at a glance; stay ahead of risks with constant monitoring against industry standards; and get clear guidance to fix gaps and boost security. Plus, learn from SADA customers.

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Learn how to implement a full life cycle approach to reduce cloud risks with the industry’s first solution that converges best-in-class cloud security and enterprise security operations capabilities. Hear how Verizon security teams assess and mitigate cloud risks, and how your organization can proactively manage threats, posture, data, and identities, and respond to security events across clouds with a single, converged solution operating at Google Cloud scale.

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The growth in AI/ML training, fine tuning, and inference workloads has created exponential demand for GPU capacity, making accelerators a scarce resource.

Join this session to learn: - How Dynamic Workload Scheduler (DWS) works and how you can use it today - About Compute Engine consumption models, including on-demand, spot, and future reservations

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Efficient use of valuable Infrastructure Cloud resources is a top goal for our customers. Explore how Compute Engine operational and automation empower you to optimize your workload management with flexibility, scalability, and cost efficiency. Discover the latest product announcements, upcoming roadmap highlights, and learn from transformative customer success stories. Join us to discover the latest on how you can use optimize the management, utilization and cost of running your infrastructure.

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Join government leaders at the forefront of cybersecurity as they explore how they use innovative tools and strategies to build robust defenses and protect communities at scale. This session showcases real-world examples of how agencies leverage leading-edge technologies to combat evolving threats, strengthen resilience, and ensure continuous safety for citizens in the digital age.

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Creating a business case to modernize applications has historically been a challenge. However, legacy systems need to be modernized to capture the full benefits of the cloud. McKinsey's LegacyX approach focuses on using generative AI to modernize applications faster and more efficiently. Learn how McKinsey is using genAI to streamline app modernization by automating discovery and documentation of functionality, creating target-state code, and performing unit and functional testing.

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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This session will take a technical look across Google Cloud's operational databases portfolio and a deeper dive into the key patterns and scenarios mapping to each database. We’ll provide you with prescriptive guidance on choosing databases for workload migrations and what selection criteria to factor in to your decision making.

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In this session we will show how you can query, connect, and report on your data insights across clouds, including AWS and Azure, with BigQuery Omni and Looker. Reduce costly copying and customization and get answers quickly, so you can get back to work.

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The vast majority of celestial bodies in our Solar System are asteroids that are not currently tracked. Finding and tracking asteroids is therefore a major focus for astronomers researching the evolution of the Solar System, of investors and businesses hoping to fly missions to asteroids, and for all of us who want to prevent future large asteroid impacts on Earth. Hear from Dr. Edward Lu, Executive Director of Asteroid Institute and 3x NASA astronaut, Google Cloud CTO Will Grannis, & Google Cloud Sr. Technical Director Massimo Mascaro, on how the power and scalability of Google Cloud has helped Asteroid Institute discover hidden asteroids in existing astronomical data. This highly computationally complex process will forever change the future of astronomy and asteroid discovery. Please note: seating is limited & on a first-come, first served basis; standing areas are available

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