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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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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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.

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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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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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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.

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Successful cloud-first transformation requires a deep understanding of architecture, automation, and modern engineering practices. It requires significant skills, talent, investment, and time to be successful. What if generative AI could enhance your productivity, reduce dependency on scarce skills, and allow your IT to become truly cloud-first? This session will introduce you to modern AI-enabled tools and approaches that will help you overcome complexity, enhance productivity, and accelerate IT transformation.

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The latest Google Compute Engine instance families have built-in AI hardware accelerators delivering GPU-level performance for computer vision, natural language processing, speech recognition, recommendation engines, and generative AI models all powered by the latest Intel 4th and 5th gen Xeon CPUs. We will demo a real-time chatbot and CodeGen generative AI application, share performance results across various AI workloads, and highlight our partnerships with the AI software ecosystem and Google Cloud end users.

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Generative AI is accelerating conversational AI experiences across a multitude of use cases – from customer service to travel, food ordering, employee assistants, and more. In this session, learn how Vertex AI makes it easy for developers – even those without ML experience – to build AI-powered chatbots and conversational experiences powered by generative AI and grounded in enterprise data. Learn from customers who are leveraging Vertex AI to deliver innovative new customer touchpoints.

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Complexity and fragmentation of current generative AI models can hinder development and innovation. Vertex Model Garden offers over 130 models on one platform, facilitating innovation with features like one-click deployment for leading open models and integration with Hugging Face. We'll explore how Vertex AI Model Garden transforms AI lifecycle management, from experimentation to scalable deployment. Discover efficiency with an end-to-end example of how to find models, manage data, configure endpoints, and deploy models as scalable APIs.

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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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New generative AI innovations in Firebase and Firestore means that you can deliver scalable applications with differentiated capabilities for your business in a matter of weeks. Come learn about these new platform capabilities and how you can leverage them in your app development journey.

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Are you curious about how generative AI enables leading retailers to go paperless and save millions? Do you want to know how gen AI propelled Formula E to break a world record? Join McKinsey's data scientists and QuantumBlack AI leaders to discover how organizations across industries are leveraging gen AI to capture value. Get insights and practical tips on how companies are putting gen AI-enabled solutions into production today.

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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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