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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Join CNA Insurance and TCS as they explore the impact of AI to foster innovation, drive growth, improve operational efficiency, and enhance the customer experience in financial services. These market leaders will examine the key imperatives, strategies, and challenges to adopt AI at scale and share best practices to deliver value.

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Harnessing AI's power or falling behind? Join this critical panel as industry leaders dissect generative AI, the game-changer reshaping your reality. Learn how to personalize experiences, unlock efficiencies, and unleash new revenue streams. Craft your winning AI strategy and secure your future in the age of intelligent creation.

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Join AI startup founders from around the world as they share their perspective on the startup landscape.

In this must-attend session for startup leaders, join Rodrigo Bobrow, Founder of Meistrari, Arun Subramaniyan, Founder & CEO of Articul8 AI, Anjan Umamaheswaran Bhojarajan, Chief Business Officer at HealthifyMe, and Timur Momedov, Co-Founder and CTO of VEED as they discuss macro trends and the biggest startup opportunities and challenges they see in 2024. They’ll share how AI continues to disrupt the startup landscape and how leaders should be thinking about their cloud investments over the next year.

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The excitement of generative AI has captured the imagination of developers around the world. To achieve value, customers have to confront the hard reality of what it takes to put models into production. Vertex AI provides capabilities specific to gen AI, including prompt management, tuning, evaluation, and model monitoring to help customers to put gen AI use cases into production. Learn how these capabilities can help accelerate your ability to get the most out of gen AI and how customers have used them successfully for a return on investment.

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Join Jimmy Priestas, Accenture's Chief Google AI Officer, Josh Weiss, IHG Hotels & Resorts’ Vice President of Guest Products & Platforms, and Sherri Zink, BCBSTN’s Senior Vice President and Chief Data & Engagement Officer, as they discuss the frontier of AI and generative AI. Discover how to navigate the skepticism surrounding the technology. Listen to their personal insights and reflections drawn from more than 6,000 combined conversations and over 1000 projects on the powerful evidence of generative AI's transformative impact across various industries and regions. You’ll get a glimpse of a future where technology advances help close the digital divide.

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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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As digital landscapes expand, so do security threats. Conquer these challenges with Palo Alto Networks' AI-powered software firewalls and the latest network security innovation with Google Cloud. Join us as we explore security strategies for every step of your journey. Learn from real-world examples where organizations leverage AI-powered threat prevention and industry-leading network security to gain unmatched visibility and control.

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Google Cloud FinOps, a collaborative approach to managing costs and maximizing efficiency, has emerged as a critical strategy for cloud transformation. We’ll discuss the top five generative AI use cases poised to drive the adoption of cloud FinOps, including cost anomaly detection, financial forecasting, and cost optimization. Industry leaders from Equifax, SAP, and CME Group will join the spotlight to share their strategies and experiences to help you create better cloud FinOps practices with AI.

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An embodiment of the enduring partnership between Google and SAP is RISE with SAP on Google Cloud. It enables companies to grow, scale, innovate, and sustain by unleashing the power of data and generative AI.

Attend this session to get an understanding of the DNA of RISE, how customers can use it as a springboard for business process excellence, superior decision-making through advanced data and analytics capabilities, and innovation through generative AI. Google Cloud customers will share their RISE success stories.

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Data and AI platforms are rapidly evolving to provide AI-driven experiences and insights which boost productivity of information workers and support a variety of workloads for data teams. This discussion with leading enterprises to gain a glimpse into their use of intelligent agents to drive innovation and value for their customers.

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Enterprises are operating in hybrid and multi-cloud environments, data is becoming more distributed, and AI has brought an inflection point for enterprises looking to gain business agility. The network is the fabric that connects these workloads and ensures business critical information is available to act. Join us to learn how Google Cloud Network can secure, streamline, and scale your network to ensure your business runs effectively.

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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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Meet changing consumer expectations in the generative AI era with the power of AI agents. These advanced AI systems can understand complex requests and take actions in real time on your customer’s behalf, offering unprecedented potential for new personalized services that reduce friction and increase engagement. Our expert panel will share real-world insights on how generative AI agents grounded in the factuality of your enterprise data can streamline customer journeys, building differentiation and loyalty.

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Google Cloud is the best place to run AI and modernize, but sometimes due to regulation, latency, or data sensitivity, you may need to harness the power of Google Cloud outside of our public regions. Join us to learn how to run AI and modernize anywhere - from the edge, to sovereign, to cross-cloud. Also, we’ll show you how Gemini is revolutionizing how you operate your cloud - from troubleshooting your Networking and Storage, to optimizing it for compliance.

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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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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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Research indicates that organizations that absorb generative AI fastest will see disproportionate business success. Accelerate and equip your organization to leverage generative AI by understanding a practical and pragmatic framework to build organizational muscle to drive business value. This workshop covers business use cases accelerated by Google Cloud solutions, showcases training opportunities across functional roles, and will include real time brainstorming and identification of actions.

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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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