The mining industry faces many challenges, including rising costs, increasing regulation, and a changing global landscape. Hear how Hudbay Minerals is disrupting the industry, how the use of Google's Cortex solution improves operational efficiency and creates transparency, how Google Cloud's automation and integration capabilities reduces costs and how using GenAI improves overall quality of communications between team members and partners. 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 to empower teams to speed development of the latest enterprise-grade innovations on Google Cloud Marketplace, from data analytics and generative AI to best-of-breed business applications. Discover features to help maintain real-time visibility and governance over your development and operations so you can mitigate shadow IT. You’ll hear from customers who have successfully grown their business and increased time-to-deployment.

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Generative AI has revolutionized the business landscape, creating new opportunities for productivity gains and topline growth. Our survey of over 1,400 C-suite executives reveals that 89% rank AI as a top-three tech priority for 2024, with 51% ranking it at the top. But many companies struggle to realize the full benefits of scaling from pilot to at-scale transformations, and 66% of leaders express dissatisfaction with their organization's progress. What key lessons can we learn from the companies leading the AI transformation?

Join us to explore the insights from our survey and analysis.

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Learn how to integrate generative AI capabilities with your Android. We’ll cover the solutions to run on-device gen AI inference for text and image generation. We’ll also explore how to use Gemini Pro’s advanced multimodal capabilities in your application.

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Join this hands-on presentation where we harness the power of Flutter, Firebase, and Gemini to build a dynamic, real-world application from scratch. You'll learn first hand how Firebase's Firestore and Storage streamline data management and media handling. The presentation will showcase the latest AI coding capabilities using Gemini, incorporating the generative AI Dart software development kit to create a glimpse into the future of intelligent apps.

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Join us to hear from Adam Ghetti (Co-Founder at Adapter), Arvind Jain (Co-Founder and CEO at Glean), Alex Mashrabov (Co-Founder and CEO at Higgsfield AI) and Cody Coleman (Co-Founder and CEO at Coactive AI) who are leading the application of Generative AI in the enterprise and scaled consumer world. They will share how they’re using Natural Language to solve some of the biggest hurdles in the day-to-day lives of consumers and enterprises. Come learn how they foresee the evolution of Natural Language in the near term and how General AI is going to catalyze the answers to many problems that remain yet to be solved.

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This interactive Q&A session provides a unqiue opportunity to engage with our experts on the forefront of modernizing customer service and digital commerce using GenAI. 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 is only as good as its data. Join this session to explore the powerful synergy between Stack Overflow and Gemini and learn how they’re coming together to bring a new level of productivity through cutting-edge AI tools backed by accurate data foundation trusted by millions of developers. The speakers will showcase where developers can benefit from the enterprise and security support you’ve come to expect from Google, with accurate and trusted knowledge that’s made Stack Overflow a go-to resource for all developers.

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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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Your transactional data powers many applications – from Analytics to generative AI and interactive online systems. AlloyDB unifies all these workloads onto a single, high-performance platform to extend your real-time data. This session dives into two built-in features: AlloyDB AI and the Analytics Accelerator. We'll show the key technologies behind these features, including Google's fast vector search and the columnar engine that enables fast analytical queries, hybrid transaction, and analytics use cases. We’ll share how customers simplified their Analytical and gen AI apps with these two features.

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Ori Goshen, Co-Founder and Co-CEO of AI21 Labs, is a seasoned entrepreneur who previously co-founded Crowdx and developed the first-ever Voice over Internet Protocol and messaging app for iPhone and Android.

Get his unique perspective on the emergence of small, specialized models in the generative AI space and how building a strong partnership with Google Cloud was integral to their trajectory. AI21 Labs continues to innovate by building reliable, practical, and scalable AI systems for enterprises to accelerate the use of AI in production.

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Leveraging the remarkable performance and ample memory capacity of the Google Cloud's TPU v5p and AI Hypercomputer, Lightricks successfully trained our generative text-to-video model without splitting it into separate processes. This optimal hardware utilization significantly accelerates each training cycle, allowing us to swiftly conduct a series of experiments using a TPU v5p - 128 pod. The ability to train our model quickly in each experiment facilitates rapid iteration, which is an invaluable advantage for our research team in this competitive field of generative AI.

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Training large AI models at scale requires high-performance and purpose-built infrastructure. This session will guide you through the key considerations for choosing tensor processing units (TPUs) and graphics processing unit (GPUs) for your training needs. Explore the strengths of each accelerator for various workloads, like large language models and generative AI models. Discover best practices for training and optimizing your training workflow on Google Cloud using TPUs and GPUs. Understand the performance and cost implications, along with cost-optimization strategies at scale.

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Generative AI has the potential to transform the way we live, work, bank, and invest. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency in banking. The session will also feature customer success stories and a discussion with banking executives at the forefront of using generative AI.

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Join this fireside session with Dario Amodei (CEO and Co-Founder, Anthropic) and Elad Gil (Entrepreneur, Investor and Startup Helper) as they discuss real-world applications of gen AI and the impact on cost, productivity, and revenue.

Hear their perspective on challenges like hallucination rates, jailbreaks, model deception, and high latency - and opportunities for large language models (LLMs) to drive transformation. Get their point of view on how we can collectively shape the future trajectory of AI through policy efforts, groundbreaking societal impact research, and collaborative initiatives.

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Text-to-image generative AI models such as the Stable Diffusion family of models are rapidly growing in popularity. In this session, we explain how to optimize every layer of your serving architecture – including TPU accelerators, orchestration, model server, and ML framework – to gain significant improvements in performance and cost effectiveness. We introduce many new innovations in Google Kubernetes Engine that improve the cost effectiveness of AI inference, and we provide a deep dive into MaxDiffusion, a brand new library for deploying scalable stable diffusion workloads on TPUs.

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Join Cox Communications in their generative AI journey, from innovation to transformation. Explore how they enhance sales and value using Google Cloud's Vertex AI suite. Uncover use cases improving digital sales and NPS, and reducing contact center costs. Get insights from the journey's early days, including rapid prototyping, preliminary results, and plans for organizational readiness and application controls essential for scaling. Don't miss this deep dive into the intersection of innovation, strategy, and tangible 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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Join three-time Kaggle Grandmaster Ruchi Bhatia in an exclusive interview with Kaggle Data Scientist Walter Reade. Ruchi will discuss her journey to becoming a top-ranked Kaggler, and the latest developments in machine learning and generative AI that have caught her attention.

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Get a behind-the-scenes look at the bold initiatives transforming higher education at both Adtalem and Purdue University Global. Steven Tom, SVP & Chief Customer Officer at Adtalem will share the evolution from their first Gen AI learning tutor “Julian” to the AI initiatives happening today. Tim Werth, CIO of Purdue University Global, will share how they built an AI based learning assistant for students. Join us to see what the next generation of classrooms may look and feel like! Please note: seating is limited and on a first-come, first served basis; standing areas are available

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Our research estimates that gen AI could add over $4 trillion of value annually — join McKinsey to hear the latest research on where the highest value use cases and opportunities for gen AI are across your organization. Hear how McKinsey and ING collaborated to build a GenAI-enabled customer service agent, and see examples of how industry-leading companies are productionalizing use cases to increase revenues and reduce costs today.

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Like your own organization, Google has many lines of business challenges which AI can help solve. Learn how Google is using its own AI technologies to improve customer experience and product differentiation while increasing operational efficiencies and empowering its employees with AI-driven insights for better decision making. Hear from different business leaders in this panel session which will address some of the top GenAI use cases for Marketing, Customer Support, HR and Sales.

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Working with the agility and flexibility of a digital native or a big tech innovator can feel like an impossible mountain to climb for traditional enterprises. But empowering your teams with the right tools, like generative AI, can make this vision a reality. Join this session to learn how your organization can adopt a more collaborative mindset and begin to identify your road map to embracing generative AI. Hear from two customers who have embarked on their journey of a new way to work and glean insights from their lessons learned in adopting Gemini AI in Google Workspace.

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Any new technology brings potential new risks, and generative AI is no exception. In this session, we will cut through the FUD around gen AI deployments - helping you understand the real risks, both existing and novel, with deploying AI systems in the cloud. We’ll also provide a framework for how to support the safe use of AI in your organization, so that security, privacy, and risk concerns, real and imagined, can be addressed effectively without slowing business velocity.

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It’s more important than ever for organizations to create a culture of learning where employees are encouraged to continually learn and grow. This can lead to numerous benefits for the organization, like increased innovation, improved employee satisfaction, and reduced turnover. Erin Rifkin, Managing Director of Cloud Learning Services, will share an overview of our learning principles. She’ll also share specific examples of both formal and informal learning opportunities, and those which have leveraged generative AI.

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A hands-on coding session and deep dive for connecting Gemini to real-world systems, data, and APIs with Function Calling and Reasoning Engine. Function calling helps developers build online generative AI applications that have access to the latest data and information. We'll dive into practical use cases like using natural language to interact with SQL databases, automating complex workflows, and enhancing your chatbots with real-time data. You'll be equipped to connect LLMs to any API or system and extend the capabilities of what LLMs can do.

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