You’ve provisioned your cloud resources with infrastructure as code. A year later, you find yourself refactoring it to better manage resource usage and dependencies and add a new region, runtime, or project. In this session, you’ll learn the patterns and practices to go from zero to the multi-region, multi-runtime, multi-project, multicloud scale. By establishing the foundation for scale in the beginning, you can lessen your refactoring effort and add new runtimes, regions, projects, and even clouds to your system.

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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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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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Generative AI is changing the game, unlocking significant value across the communication service provider (CSP) value chain, and changing how CSPs and their customers interact with technology. Generative AI is enabling new monetization, network, and customer experience models. In this session we will share how Google Cloud is helping CSPs become an AI-driven Telecom. We will share how our CSPs customers are implementing gen AI to improve online self service, increase effectiveness of agent assisted interactions, create optimized next best offers, automate network operations, and ensure data security and compliance at scale.

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Discover how Alaska Airlines is harnessing the power of generative AI to create a personalized and intuitive destination search experience for customers. Gain insights into the data transformation journey that has enabled Alaska Airlines to seamlessly integrate genAI into their customer-facing platforms. Learn how Alaska Airlines has collaborated with Google Flights Enterprise and Google Cloud Consulting to design a user-centric experience that empowers customers to explore and discover new destinations with ease.

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Artificial intelligence (AI) promises transformative potential but the journey from a brilliant AI concept to successful implementation and tangible returns on investment can be complex. Join our expert panel, featuring Automation Anywhere, OpenText, UKG for a candid and insightful discussion on the key lessons learned from real-world applied AI solutions.

Gain their perspective on identifying high-impact AI use cases, measuring project success, and integrating AI into core business processes. Discover best practices for aligning AI initiatives with broader business goals, building scalable AI, and driving adoption. Learn from the successes and challenges of those at the forefront of applied AI.

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There's a lot involved in building modern software. How can you build something powerful and extensible, without drowning in complexity? Join Google and industry experts for demos and best practices around making modern software development easier with our AI. We'll talk about the bleeding-edge of technology, how you can adopt it, and how Google does it ourselves. This is a talk by developers, for developers, so buckle up.

Want to be among the first to get hands-on with Google Cloud innovations? Click the blue “See what’s next” button above to let us know, and jump to the front of the line. Want to get building on Vertex AI right now? Head to g.co/next/vertex and get going in minutes.

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.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

There's a lot involved in building modern software. How can you build something powerful and extensible, without drowning in complexity? Join Google and industry experts for demos and best practices around making modern software development easier with our AI. We'll talk about the bleeding-edge of technology, how you can adopt it, and how Google does it ourselves. This is a talk by developers, for developers, so buckle up.

Want to be among the first to get hands-on with Google Cloud innovations? Click the blue “See what’s next” button above to let us know, and jump to the front of the line. Want to get building on Vertex AI right now? Head to g.co/next/vertex and get going in minutes.

Hear stories from Crystal Huang (General Partner at GV) and Bruno Aziza (Partner at CapitalG) about how disruptive Generative AI startups convinced them to invest over $100M in funding and what unrealized value their investments are unlocking.

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While businesses strive for accessible and inclusive workplaces, scale can be a challenge as the needs of each employee are unique. AI helps us make a powerful move toward evening the playing field. We will discuss the challenges employees from the d/Disability and n/Neurodivergent communities may face in the workplace and learn how Gemini features for Google Workspace lower access barriers to support a more equitable work environment. Dive into how Gemini features provide accessibility and create a more equitable workforce.

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Gemini is a contextual real-time assistant baked right into Workspace, one that lets you become a better writer, visual designer, data analyst, and project manager. In this session, discover how Gemini for Google Workspace empowers your teams to build more creative campaigns, maximize follow-through with prospects, and accelerate business opportunities. See real-world use cases showcasing how Gemini automates tasks, boosts efficiency, and frees time to focus on higher value work – driving greater impact, revenue, and returns on investment.

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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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Organizations need powerful security solutions to their most sensitive assets. But the familiar approach of bolting on more security products is unsustainable. Instead, the convergence of key capabilities can reduce complexity, increase productivity, and deliver stronger security outcomes. In this spotlight, leaders from Google and Mandiant will share our insight into the threat landscape and our latest innovations that make Google part of your security team. We’ll demonstrate new Gen AI-driven security capabilities that help prevent threats, eliminate toil, and empower talent. And you’ll hear from leaders who have adopted our solutions to transform their security programs.

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Learn how Victoria’s Secret & Co. partnered with Google Cloud to integrate Google’s innovation framework into their organizational DNA. Victoria’s Secret & Co. now rapidly develops new features and products using Google Cloud’s AI suite of technology to support its associates and customers alike. In this session we will cover Google’s Innovation Framework, the solutions that started Victoria’s Secret & Co.’s transformative AI journey, and how they continue to build on the momentum of this work to continuously adopt new, AI-first solutions. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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It's challenging for organizations to navigate a tech transformation whilst keeping an eye on cost optimization and enabling developers to boost productivity levels. In this session Wayfair will speak to their experience doing both. We'll touch on how Wayfair addressed technical debt through legacy code modernization, test case generation, and the automation of repetitive tasks. We'll also unveil how they boosted developer productivity by leveraging Gen AI for code generation, intelligent code completion, code explanations, and documentation generation. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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In this session, we’ll learn how to create an AI-powered game with Gemini and Flutter, à la “choose your own adventure” style. We’ll rely on Gemini to generate our game mechanics, deploy our Dart Frog backend to Google Cloud, and build an engaging UI with Flutter, all with one single programming language: Dart.

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LangChain is the most popular open-source framework for building LLM-based apps. Google Cloud is the easiest place to deploy LangChain apps to production. In this session technical practitioners will learn how to combine LangChain on Cloud Run with Cloud SQL's pgvector for vector storage and Vertex Endpoints to create generative AI applications.

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Foundation models offer incredible answer-generation capabilities, but they can sometimes produce inaccurate or irrelevant outputs. This session explores how grounding AI responses in data can reduce hallucinations and improve the reliability of your applications. We'll delve into the differentiated grounding capabilities offered by Vertex AI, including out-of-the-box grounding capabilities, grounding on public datasets, and grounding in Google Search that can improve the accuracy, relevance, and trustworthiness of generative AI applications.

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