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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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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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.

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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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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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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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 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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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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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.

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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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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In this mini course, you will explore automatic side-by-side evaluation on Vertex AI using AutoSxS, a tool for evaluating models relative to each other. You will understand the application of side-by-side evaluation how you can use AutoSxS through the Vertex AI API or Vertex AI SDK for Python.

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Meet The Bank of New York Mellon’s virtual assistant who is helping employees to find relevant information and answers to their questions. Discover the evolution of virtual assistant’s architecture and the lessons learned from their journey. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Discover how Robert Bosch, the world's largest automotive supplier, revolutionizes marketing through Gen AI-powered solutions. They are streamlining processes, optimizing resource allocation, and maximizing efficiency across 100+ decentralized departments. Unlike traditional methods, our Gen AI services offer simplicity in image-to-text, content creation, and translation in 130 languages to deliver improvements in just 30 days. Explore how Bosch utilized Google Vertex AI and BigQuery, transforming marketing operations rapidly for tangible results. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Today enterprises are faced with a critical challenge of managing and monetizing vast amounts of data, demanding next level intelligence to realize AI driven insights. Join this session to learn how HCLTech is helping customers deliver advanced healthcare services and achieve regulatory compliance imperatives by integrating AI-driven analytics and GenAI to revolutionize data management. 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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Breaking data silos to provide end-to-end visibility across the supply chain enables improved decision-making, resilience, and cost savings. Join experts from Google, Kinaxis, and Dematic to learn how you can build and deploy a data-driven supply chain to address use cases from scenario modeling, planning, operations management, and automation.

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Join CEO, Craig Walker, as he recaps Dialpad’s "12 Months of AI" initiative. A spinout of Google, learn how Dialpad’s build on Google Cloud was crucial to providing scalability and unveiling new features monthly. Gain insights into lessons learned through Dialpad’s $50 million commitment to AI and how to leverage these features for scalable revenue growth in this enlightening session. 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 the world of retail, crafting product descriptions is a necessary yet time-consuming task, often done manually and, let's face it, not ideal for the wrists. In this session you will learn how Belk ECommerce worked with Google Cloud to solve this cumbersome process using innovative generative AI. You will gain technical insights for leveraging image captioning and Vertex AI, and examine the practical steps to a successful production journey.

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Artificial intelligence (AI) solutions are rapidly evolving. With the exciting new developments in both predictive and generative AI, it's a crucial time for data science and ML teams to evaluate platforms for their enterprise needs. This talk provides a roadmap to navigate essential considerations such as model tuning, cost considerations, latency, security, safety, and flexibility. Attendees will gain practical insights to guide their organization's platform selection and understand how Vertex AI addresses those needs.

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