Discover the game-changing potential of Generative AI, utilizing Google's Vertex AI Model Garden and Large Language Models (LLMs) to revolutionize content search and discovery. Reports show 61% of consumers are now prioritizing TV sources based on the ease of content discovery, with preference towards a more streamlined experience. This demo will show how integration with Generative AI models can power conversational search that expedites results for viewers while also amassing information that makes it increasingly knowledgeable and accurate. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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This lecture delves into the evolution from LLMOps to GenOps, showcasing how the GenOps solution revolutionizes Generative AI with its cutting-edge security and governance framework powered by Google Cloud. It highlights the necessity of continuous security throughout the AI lifecycle and the strategic integration of ethical guidelines and compliance measures, ensuring safe, compliant, and efficient AI operations. 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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Deploying AI models at scale demands high-performance inference capabilities. Google Cloud offers a range of cloud tensor processing units (TPUs) and NVIDIA-powered graphics processing unit (GPU) VMs. This session will guide you through the key considerations for choosing TPUs and GPUs for your inference needs. Explore the strengths of each accelerator for various workloads like large language models and generative AI models. Discover how to deploy and optimize your inference pipeline on Google Cloud using TPUs or GPUs. Understand the cost implications and explore cost-optimization strategies.

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Introduces new GCS management features and shares best practices to solve customers' goals of cost optimization, security and governance at billions of objects scale. Demos and details of Storage Insights Datasets, generating insights with Gemini and new data movement feature. Plus, learn directly from Recursion Pharma about their real-world success managing Cloud Storage at scale.

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In this session, DoiT will explore the transformative journey of implementing generative AI using Vertex AI, from the initial concept to large-scale production with a focus on maintaining robust security. Discover how to fully leverage Vertex AI across the four phases of the gen AI journey, extracting maximum value from this groundbreaking technology. Immersive demonstrations will be provided at each phase, highlighting practical steps and actionable recommendations to seamlessly transition your project from one stage to the next.

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Python's dominance in data science streamlines workflows, but large-scale data processing challenges persist. Discover how BigQuery DataFrames, a Pandas and scikit-learn-like abstraction over the BigQuery engine, revolutionizes this process.

Join this session to learn about BigQuery DataFrames and witness how you can: - Effortlessly transform terabytes of data - Build efficient ML applications on massive datasets by leveraging large language models - Use your familiar Python environment

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Indiana University (IU) seamlessly transferred crucial learning management data from AWS to GCP using the Denodo Logical Data Platform, ensuring a smooth transition without disruptions or data replication. Join this session to learn the intricacies of this process and discover how IU harnessed Denodo’s massively parallel processing (MPP) for in-depth data analysis and predicting positive student 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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Explore the transformative role of Google Cloud’s MedLM in advancing preclinical research. Learn how BenchSci develops Generative AI solutions empowering scientists to understand complex connections in biological research, saving them time and financial resources and ultimately bringing new medicine to patients faster. Discover how MedLM’s critical contribution is transforming the industry.

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

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As a small or midsize business, adopting generative AI may come with challenges around security, cost, and support resources. Google Cloud databases such as AlloyDB and Cloud SQL can help bridge the gap between gen AI models and the data sitting in your databases. We’ll review Google Cloud database options and learn about their reliability, scalability, and openness benefits. Then we'll dive into some gen AI application examples to see how they were built and how they use data from your database to provide accurate responses.

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Empower your organization to achieve greater efficiency and solve critical business challenges with Google AppSheet's innovative no-code platform. This exclusive panel features industry leaders who achieved remarkable results by using AppSheet to streamline workflows and empower their teams. Learn first-hand their inspiring journeys, gain practical tips, and unlock the full potential of AppSheet to drive growth and innovation within your own organization.

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In this session, Douwe Kiela, the CEO and Co-Founder of Contextual AI and an Adjunct Professor in Symbolic Systems at Stanford University, will talk about how Contextual AI is building the next generation of language models leveraging Google Cloud. He will dive deeper into why retrieval augmented generation (RAG; which he pioneered at Facebook) is the dominant paradigm for large language model (LLM) deployments and the role he believes RAG will play in the future of gen AI.

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Google Workspace is the best first step to help drive operational efficiency for frontline workers. From secure data usage to digital identities to elevating the customer service experience, workplace needs are vast and the time is always short. Learn from this panel of industry leaders on how they are modernizing the frontline worker experience in the new era of work.

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Discover how the Golden State Warriors have harnessed the power of Google Cloud, with the help of SADA, to understand fan behavior and deliver captivating experiences through technology. Get a glimpse into their future plans to leverage AI to increase productivity, create personalized experiences, and grow their fan base, all while driving 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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In a fireside chat, Google Workspace generative AI partners Salesforce, Outreach, and Typeface will share how customers are adopting generative AI tools to gain real-world business value. Whether it's extending the value of Gemini with Salesforce, leveraging Workspace APIs to power conversational intelligence, or inserting text or images into Workspace apps like Gmail, Docs, Sheets, or Slides, the customer benefits are countless.

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In our session, learn how MSCI uses machine learning with Vertex AI, BigQuery and Cloud Run to enrich its datasets to help our clients gain insight into around 1 million asset locations to help manage climate-related risks. We’ll demonstrate how MSCI Geospatial can achieve an increase of 100 times in data processing efficiency, utilizing the scalability and cost-effectiveness of Google Cloud solutions.

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Cloud Armor brings the global scale of Google’s network and industry-leading machine learning techniques to protect your apps and services from exploit attempts and DDoS attacks. In this session you’ll learn how Uber protects their mission-critical workloads with the power of Google’s Cross-Cloud Network and Cloud Armor. We’ll also share how we protected against the world’s largest DDoS attack to date, and explain how to protect your workloads whether they reside on Google Cloud, on-premises, or anywhere else.

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AI is transforming modern business, and underpinning this revolution is the platform. Platform builders and architects are the unsung heroes who create the foundation that brings AI to life while balancing ongoing modernization and optimization efforts. Learn how containers are helping platform teams accelerate AI initiatives, while driving innovation and stability. We'll dive into topics such as price-performance, cost control, and security to make sure platform builders can harness the true power of AI innovation. Finally, get actionable lessons from Shopify's platform-building journey – learn from their victories and setbacks

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Attention developers! Are you struggling with the complexities of integrating Al/ML into your apps? Join this practical session where we'll explore how MongoDB Atlas and Google Cloud's offerings like Vertex Al, Gemini, Codey, BigQuery, and Dataflow, provide a comprehensive toolkit for developers. In completing this session, you'll have the tools and confidence to embark on your own Al/ML journey! 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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Learn how WellSky is integrating Google Cloud's healthcare and Vertex AI capabilities to reduce the time spent completing documentation outside work hours -- what clinician's call “pajama time”. Patient care is highly regulated, requiring significant focus from clinicians to produce compliant documentation. Generative AI can help shorten and simplify the process of extracting key information from ambient conversations and clinical documentation to complete long structured forms. Explore how WellSky leverages technology to gain efficiencies in care provision, workforce satisfaction, and caregiver retention.

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

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In an increasingly complex world, robust, dynamic security solutions are paramount. AI emerges as a powerful ally in combating security threats, transforming risk management, and creating a proactive defense against cyberattacks. This AI for Security breakout session will highlight real-life strategies and security solutions that can help improve your cyber security posture, leveraging AI for use cases, around platform security engineering, threat intelligence, prediction, prevention, and detection, streamlining security operations. 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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You may already know that Firebase is a great platform for full stack developers, offering a comprehensive set of building blocks to create a backend for almost any kind of app tailored for mobile and web development. But did you know that Firebase is also powered by and works with Google Cloud, allowing enterprise grade app development and even more use cases around complex server-side processes to create even better app experiences? We’ll show you how to do just that to get started, or expand your existing enterprise applications.

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As AI adoption continues to grow at a rapid pace, data governance will become critical to ensure high-quality data powers AI models and large language models. Learn about the newest data governance innovations for Dataplex, including new integrations with Vertex AI, to help enterprises centrally discover, manage, monitor, and govern data across all data types to power analytics and AI at scale. Learn from leaders at Orange and Ford on how they are leveraging Dataplex to securely manage and govern their data in the AI era.

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As organizations - especially startups - strive for innovation, adaptability, and flexibility, the ability to tap diverse perspectives represents a vital opportunity to build universally accessible technology that helps everyone express themselves and reach their full potential.. Join this panel discussion to hear strategies and actionable advice for accelerating success through a representative workforce.

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Conversational large language model (LLM) agents have the potential to revolutionize the online customer journey, but they carry substantial risks. How can we evaluate the nuance and effectiveness of an agent’s conversational outputs when there isn’t any ground truth for comparison, and without using hundreds of hours of manual conversation time? Join this technical deep-dive to learn how Alaska Airlines has unlocked 10x productivity gains by training generative AI agents to converse at scale with their customer-facing LLM chatbots.

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Deutsche Bank has an ambitious goal to scale its use of cloud and AI in order to transform the bank. However, as a 154 year-old bank in an industry where trust is fundamental to its long-term success, it needs to balance the ambitious use of these new technologies with robust risk management. DB’s partnership with Google since 2020 has enabled us to combine these skills and develop a safe, scalable AI environment using Vertex AI to provide data scientists with an interactive development experience with both traditional machine learning pipelines, and more recently, enabling them to explore the possibilities with generative AI

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