While everyone's talking about AI, far fewer have deployed it successfully or turned technology into business outcomes. This panel changes that, bringing together Generative AI experts for a deep dive into the practical application of generative AI. From building new customer offerings to refreshing internal processes, the panellists will reflect on the importance of data quality, data security, the responsible use of data as well as change management when it comes to embedding generative AI into the business strategy.

The emergence of pre-trained deep learning models – e.g., Foundation and generative AI models – such as GPT-4, represents a paradigm shift in the utilization of AI. This keynote, rooted in the insights from "AI iQ™ for a Human-Focused Future," explores the profound differences between implementing these state-of-the-art pre-trained models and traditional machine learning/AI approaches. Find out why the ‘xOps’ paradigm is a fallacy, why the unique technical and operational challenges necessitate sophisticated data and model observability and the imperative for advanced and specialized computational infrastructure to support the intensive demands of these models.

We delve into the strategic considerations surrounding data governance, ethical AI use, and the integration of AI into business processes, underscoring the need for a comprehensive framework that encompasses technological implementation and alignment with organizational goals and values. The discussion extends to the critical role of having a single leader for AI – the Chief AI Officer.

Through a blend of strategic insights and practical examples, this presentation offers a roadmap for businesses looking to navigate the complexities of integrating these models. It provides actionable strategies for building the infrastructure, culture, and processes necessary to harness the transformative potential of these technologies, driving innovation, efficiency, and growth in the digital era. Join us to explore how your organization can transition from traditional AI methodologies to leveraging the power of generative models and observability ensuring a competitive edge in the rapidly evolving corporate landscape. 

Following the explosion of ChatGPT onto the market in late 2022, LexisNexis Legal & Professional quickly saw the massive opportunity for large language models (LLMs) to transform how its customers do legal work. Within weeks, the company pivoted to begin innovating, delivering, and now expanding generative AI solutions for its customers. Across legal and tech industries, the company was recognized as a generative AI leader.

LexisNexis EVP & CTO Jeff Reihl will detail how the company rapidly innovated, delivered, and expanded generative AI solutions. Reihl will share insights into how the company considers its customers’ key challenges and its multi-model approach, prioritizing the best LLM to solve each customer use case. He’ll also share how the company integrates its data assets with LLM technology to improve model output and how the company’s Retrieval Augmented Generation (RAG) platform creates flexibility for the company to adopt new LLM technologies as they change. 

Attendees will learn strategies for deploying generative AI in their organizations to impact products, customers, and internal tools. Reihl will share how attendees should think about deploying generative AI in their organization, how to hire for it, and how to organize teams around it.

The industry has witnessed some tectonic changes over the last few years: on prem to cloud to multi-cloud, BI to AI to GenAI, and data warehouses to data lakes to data lakehouses, to name a few. This constant evolution coupled with the ever-increasing demands of the business makes platform thinking crucial in order to ensure a future-proof infrastructure. As companies race to advance their AI strategies, Dell has seen a gravitational pull towards a modern data architecture that can create high quality data to feed AI and generate high quality outcomes. Join this session to learn about how the Dell Data Lakehouse, powered by Starburst, is the modern paradigm for this new era. You’ll learn about the investments Dell is making in data, analytics, and AI, why Dell and Starburst partnered up on this solution, and how it enables a tremendously powerful yet open and flexible data architecture.

Generative AI has had a wide range of uses, but some of its strongest use cases are in coding and programming. One of the companies that has been leading the way in AI-assisted programming has been GitHub with GitHub CoPilot. Many software engineering teams now have tools like CoPilot embedded into their workflows, but what does this mean for the future of programming? Kyle Daigle is the COO of GitHub, leading the strategic initiatives, operations, and innovation of the world's largest platform for software development and collaboration. With over 10 years of experience at GitHub, Kyle has a deep understanding of the needs and challenges of developers and the ecosystem they work in. In the episode, Adel and Kyle explore Kyle’s journey into development and AI, how he became the COO at GitHub, GitHub’s approach to AI, the impact of CoPilot on software development, how AI tools are adopted by software developers, the future of programming and AI’s role within it, the risks and challenges associated with the adoption of AI coding tools, the broader implications tools like CoPilot might have and much more.  Links Mentioned in the Show: GitHub CoPilotKyle on GitHub[Code Along] Pair Programming with GitHub Copilot[Course] GitHub ConceptsRelated Episode: What to Expect from AI in 2024 with Craig S. Smith, Host of the Eye on A.I PodcastRewatch sessions from RADAR: The Analytics Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Generative AI has triggered a new era of innovation and collaboration: the Age of Artificial Generative Innovation. AI systems now turn all types of content, from written materials to scientific data, into Copilots that help creators and innovators. These systems use specialized knowledge to break through old limits, sparking fresh ideas and partnering directly with engineers, scientists, and creators. From creating new drugs to inventing new materials, they speed up the innovation cycle. Systems of AGI fundamentally transform how we interact with and communicate knowledge, and how we apply this knowledge. In this talk I will illustrate how AI streamlines and accelerates innovation, reshaping how we work together with machines to invent the future.

Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer). You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation. Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another. This book examines: The core capabilities of AI-based development tools Pros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhisperer Ways to use ChatGPT, Gemini, Claude, and other generic LLMs for coding Using AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testing Prompt engineering for development Using AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub Actions How to use AI-based low-code and no-code tools, such as to create professional UIs

Learn about the different ways to integrate Generative AI capabilities to your Android. We’ll cover Android APIs and SDKs to run text-to-text and text-to-image inference on-device and in the cloud.

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Mainframe modernization can feel risky, but it ultimately means escaping capital-intensive refresh cycles, slow maintenance, and opening up your data and teams to new services. In this session: - Learn about our broad portfolio developed in collaboration with partners and customers, spanning rewrite, refactor, and augment patterns - Learn how generative AI can accelerate transformation - Learn how customers have successfully modernized mainframe estates

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Harness the power of generative AI agents for process automation and rich conversational experiences. We will cover the practical applications of AI agents and how your teams can build them in a low- to no-code development environment. Learn to build, test, and deploy AI-powered conversational agents that seamlessly integrate into your workflows. Discover techniques for in-depth performance analysis and continuous optimization of your AI agents. Join us and elevate your business operations with the transformative potential of generative AI.

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Join Google Cloud and our leading partners to reveal how AI and generative AI are tackling retail’s most persistent challenges. Discover strategies for personalized marketing, intelligent inventory management, precision pricing, and enhanced customer experiences. Learn how your organization can harness the power of partnership to transform the future of retail.

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Enterprise business processes span across a variety of different systems and platforms. Surfacing relevant business insights to enable informed decisions and drive business outcomes can be a tedious and time-consuming process. Google Cloud Cortex Framework brings generative AI insights from across your business, producing answers that reduce effort, cost and complexity in order to enable competitive differentiation. Learn how the combination of a consolidated and trusted data foundation with gen AI can provide a platform for innovation.

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Out-of-the-box models from Google Cloud, open source, and other providers are extremely powerful. However, each model will give the same results to users from the same prompts. That’s where your valuable, proprietary data comes in. Google Cloud’s data and AI workflows are vertically integrated to simplify the use of your proprietary data to build, customize, and augment models so they’re optimized for your unique use cases. Join this session to learn more about how the Vertex AI platform facilitates this process from end-to-end and how Vodafone’s approach to data and AI fuels innovation.

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As developers globally start to adopt generative AI, organizations are grappling with how to secure their gen AI developer workflows. Snyk and Google Cloud are partnering to address this problem with an integrated solution through Snyk Code and Gemini. In this session you'll learn how Snyk and Gemini work together to protect your organization's source code, without compromising the developer productivity gains that can be achieved with gen AI workflows.

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Elevate your digital commerce strategy with the power of generative AI. Learn how to create intuitive, engaging experiences that drive customer satisfaction and sales. Explore how Vertex AI Search enables advanced semantic search and question-answering, allowing customers to find what they need effortlessly. Discover how you can modernize your websites and leverage conversational commerce to provide personalized support and guidance throughout the shopping journey.

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Gain insight into building domain-specific GenAI applications for the enterprise through the lens of the legal use case. Discover essential components of a comprehensive LLM ecosystem and operational model, and strategies for delivering relevant, accurate outputs with safe and ethical guardrails. Hear from PwC's Vince DiMascio on the real-world insights from a venture capital firm's successful legal GenAI implementation

Don't miss this opportunity - discover the power of GenAI.

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Discover Insmed's innovative use of generative AI to significantly improve patient outcomes. This session offers a deep dive into our delta use case canvas, a tool designed to align on key questions and drive meaningful use of GenAI in healthcare. Learn how Google's framework can be leveraged for ideation and prioritization of industry-specific use cases, leading to more effective solutions. Join us for this Mini-Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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Generative AI (Gen AI) is a transformational opportunity for businesses to reshape user experiences. This session explores real-world success stories from leading companies in Consumer Electronics, Mobile, eCommerce, and Gaming sectors. The forum is ideal for business leaders, product managers, and developers to see how Gen AI can drive personalization, knowledge extraction, operational efficiency, and user protection within their own organizations.

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Ditch legacy and embrace freedom with AlloyDB Omni, your hybrid and multicloud enterprise database. Run anywhere, from data centers to the public clouds of your choice, and unlock performance and ease of management. Elevate your apps with HTAP and built-in generative AI to build vector embeddings for lightning-fast search, remotely or locally – no connectivity needed. Simplify operations with the Kubernetes operator: automate lifecycle, HA/DR, and scale effortlessly. Learn more about AlloyDB Omni and supercharge your data strategy, anywhere.

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Join Will Grannis (VP and CTO of Google Cloud) and Lukas Biewald (Co-Founder and CEO of Weights and Biases) in a technical discussion about the trends they are seeing in successful generative AI implementations.

How can you get beyond experimentation to drive real user and business impact? How can you break down common technical barriers to accelerate development, make teams more efficient, and disrupt industries? Will and Lukas share practical tips that every technical leader should know based on the latest gen AI advances.

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