Embark on a digital innovation journey exploring Wayfair's retail evolution. Matt Ferrari, Head of Data at Wayfair unravels the layers of Wayfair’s remarkable digital transformation. Learn about challenges, strategies, and the role of data modernization in shaping the consumer experience. Discover how Wayfair leveraged Google Cloud and GenAI for optimized data infrastructure, innovation, personalized shopping experiences and redefined retail 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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Generative AI has captured the world's attention with its ability to generate human-like text, code, images, videos and other creative content. In today's dynamic business landscape, the macroeconomic potential is widely recognized. However, understanding how to harness and unlock the enterprise value remains a critical challenge Join us in this session as we deconstruct the formula for creating long-term value, focusing on achieving supernormal growth and profitability while fundamentally transforming the unit economics of a business. We will demonstrate strategies on how enterprises can drive revenue growth, market share expansion, margin improvement, cost reduction while boosting the perceived future value of the business. 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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Businesses need to predict what customers want and create personalized experiences to gain a competitive advantage and drive revenue. They need to deliver customized, tailored interactions that increase customer acquisition, improve loyalty and increase satisfaction. Join Fullstory’s Head of Data Products to learn how Data + Engineering teams can supercharge tools like DialogFlow and BigQuery with unprecedented behavioral data to accurately forecast and create experiences that outpace the competition and keep customers coming back for more. 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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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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