Generative AI is transforming software engineering. Powered by AI breakthroughs and extensive developer data, we already see impressive results in code generation, automation, and workflow acceleration. The future holds even greater promise: AI-powered code review, design to code, natural language to code, and more. Our focus is on human-centered AI and how an AI-powered software development cycle presents an opportunity to significantly amplify developer productivity by removing friction and toil, creating developer capacity so that developers can spend more time on creative problem solving, which will accelerate software engineer productivity and happiness.

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.

If you're a business leader looking to get a better understanding of how artificial intelligence (AI) is helping developers become more productive and focused, or a developer interested in using AI to achieve a “flow state” then this talk is for you. Google Developer Advocates Debi Cabrera and Daryl Ducharme will share their tips and tricks for using Gemini to stay focused, and share ways that business leaders can help their developers by providing tools and training to assist with developer productivity.

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.

Nicholas Broad is a machine learning engineer and a member of one of the top teams in Kaggle’s competition to evaluate how well large language models can write science exams and measure a student’s skills. He’ll be sharing his first-hand learnings and insights on this rapidly growing problem space.

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.

Take the next step in your AI/ML journey with streaming data. Learn to deploy and manage complete ML pipelines to run inference and predictions, classify images, run remote inference calls, build a custom model handler, and much more with the latest innovations in Dataflow ML. Learn how Spotify leveraged Dataflow for large-scale generation of ML podcast previews and how they plan to keep pushing the boundaries of what’s possible with data engineering and data science to build better experiences for their customers and creators.

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.

This session explores tools and techniques to permit machine learning model portability, while empowering your workloads to make use of the most efficient and powerful hardware available on Google Cloud. Attendees will develop an understanding of machine learning (ML) frameworks, packaging mechanisms, and how they work together to take an ML model from development to production.

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.

Application development in continuously breaking down silos. From Dev, DevTest, DevOps, DevSecOps, MLOps, Analytics, to… DevAI? Developers are now being thrust into the dynamic arena of real-time analytics and generative AI (GenAI): two forces shaping the next iteration of technology. This session dives deep into this intersection, demonstrating how developers can leverage these revolutionary tools to not only build applications, but craft game-changing business strategies.

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.

Learn how to create inclusive and innovative solutions. We’ll share five key methods and give an example of how Google has used AI for 15 years to address the needs for people with disabilities.

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.

What are the different components of an AI system? What framework can help technologists to use and create new solutions in artificial intelligence? In this talk, we’ll take Monica Regati’s “AI Hierarchy of Needs” and look at three essential components of an AI system: data, software, and models or weights. Participants will learn about open datasets available, Google products they can use to build AI systems, and how an open source practice works as a connector, drawing people and technology together, and driving collaboration and innovation.

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.

Ready to supercharge your Java skills with cutting-edge generative AI? Dive into this immersive hands-on workshop and learn how to build and deploy powerful gen AI applications in Cloud Run using gen AI with Vertex and Gemini models. We'll explore fast Java development, leverage the scalability of Cloud Run, and tackle real-world gen AI use cases. Get ready and unleash the power of AI in your next application!

Work with a complete end-to-end sample application, guided at all times by the power of Gemini.

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.

Yearning for insights from your spreadsheets? The combination of Looker and Google Workspace is your data dream team. In this session you will learn how to automatically generate Google Slides from Looker, how to generate reports from Google Sheets, and bring business intelligence into the flow of work. Leverage AI to find trends and generate summaries in seconds, and build interactive dashboards that respond to your clicks.

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.

Modernizing high-performance and AI workloads that need to stay on-premises can be challenging. Learn from the experts how to optimize your hybrid cloud by deploying Google Kubernetes Engine (GKE) on Google Distributed Cloud. Deliver a consistent developer experience on-premise and in the cloud, and preserve your return on investments by leveraging your existing HW investments. Discover how to optimize upgrade cycles, streamline operations, and empower your developers with the same cloud-born tools they use with GKE.

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.

Financial institutions around the globe are required to audit communication channels to be in compliance with regulations. Learn how Behavox is leveraging Google Cloud technology and LLMs to provide industry leading regulatory compliance and front office solutions for financial institutions globally. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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.

Don’t miss the brilliance of Gemini in a real world live demo that showcases two examples of the mind blowing accuracy and power (and fun!) of AI. Witness a food and wine pairing plus a style session that is sure to be Next’s most stylish and delish live demo! 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.

This lecture delves into the evolution from LLMOps to GenOps, showcasing how the GenOps solution revolutionizes Generative AI with its cutting-edge security and governance framework powered by Google Cloud. It highlights the necessity of continuous security throughout the AI lifecycle and the strategic integration of ethical guidelines and compliance measures, ensuring safe, compliant, and efficient AI operations. 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.

Building privacy compliant apps is a complex and ever growing problem for all developers. Join this session hosted by the co-founder and head of engineering from Google’s AI powered compliance platform - Checks - to learn how AI is revolutionizing and simplifying compliance. In this session the speakers will discuss the challenges small and large developers face, and how Google’s products can help build a safer ecosystem powered by AI.

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.

Discover the key lessons and strategies behind Deutsche Bank's successful cloud transformation in a highly regulated environment. Learn how Deutsche Bank navigated regulatory challenges, built a secure cloud foundation, and how they are unlocking the power of data, AI, ML, and GenAI. Gain insights into how Google Cloud Consulting collaborated with Deutsche Bank to drive success. This session is ideal for IT leaders and decision-makers in regulated industries seeking to embark on transformation cloud journeys. 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.

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.

Explore how conversational AI is enhancing user experiences in every industry by augmenting decision making and providing personalized recommendations. Hear how Bud Financial and Scotts Miracle-Gro produced chatbots to better serve the needs of and engage with their clients and customers. Please note: seating is limited and on a first-come, first served basis; standing areas are available

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.

Traditional enterprises can unlock their full potential and achieve transformative results by adopting a Cloud-first, AI-first approach. In this session, Infosys experts share a comprehensive blueprint powered by Infosys Topaz and Infosys Cobalt offerings on Google Cloud. Gain insights into the power of this dynamic duo and learn how Infosys is uniquely positioned to navigate enterprises through this transformative journey. 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.

In this presentation, we delve into the cutting-edge realm of large-scale AI training and inference, focusing on the open models and their deployment on Google Cloud Accelerators. Open models such as the Llama family of LLMs and Gemma are state-of-the-art language models that demand robust computational resources and efficient strategies for training and inference at scale. This session aims to provide a comprehensive guide on harnessing the power of PyTorch on Google Cloud Accelerators, specifically designed to meet the high-performance requirements of such models.

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.

Data scientists are under pressure to produce more and better results with fewer resources. This session will explore how Vertex AI can help data scientists be more productive. Mayo Clinic will show how they make it easy for their users to analyze data, experiment, train and deploy models through the use of Vertex AI features such as Workbench, AI Studio, Model Garden, Training and Inference, and Big Query. We’ll also cover recently released features of Vertex such as Colab Enterprise and Feature Store.

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.

In the era of multimodal generative AI, a unified governance-focused data platform powered by Gemini becomes paramount. Join this session to learn how BigQuery fuels your data and AI lifecycle from training to inference, by unifying structured and unstructured data such as text, images and audio, while encompassing security and governance. Learn how Priceline is using BigQuery and Vertex AI to reinvent customer experiences and lead the industry in data and AI innovation.

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.

Join us to learn how to activate the full potential of your data with AI in BigQuery. Take an in-depth look at how BigQuery's core integration with generative AI models like Gemini, coupled with its petabyte-scale analytics capabilities, enables new possibilities for gaining insights from your data. Learn how to derive insights from your untapped and unstructured data such as images, documents, and audio files, and explore BigQuery vector search and multi-modal embeddings, all powered by Google's industry-leading AI capabilities in BigQuery using simple Cloud SQL queries. You will also learn how Unilever is creating a data strategy that allows data teams to scale efficiently and rapidly experiment with AI models and gen AI use cases.

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.

Digital transformation startup, ClearObject, is leading the way in helping organizations unlock the value of generative AI by creating custom applications for a variety of industries, from Financial Services, Manufacturing, Food and Beverage, and Education. In this lightning talk, you’ll hear how ClearObject goes from ideation to customer value, exploring the complete lifecycle of generative AI product development with real-world examples using Vertex AI, Google Cloud, and Workspace apps.

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.

Come to this fireside chat with Seth Vargo to learn more about the ultimate hybrid cloud use case. We'll explore use cases where Alphabet products run on some of your favorite Google Cloud offerings such as Google Kubernetes Engine (GKE). Why don't we run everything at Alphabet on Google Cloud? Why do some products run partially on cloud? How do Alphabet engineers take advantage of products like GKE, Cloud Run, Vertex AI, and Gemini exposed over hybrid channels? We'll shed light on how our internal innovation influences the products available to our customers and vice-versa.

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.

In an industry that has been hit by change over the last two decades, media companies were forced to do two things: adapt or die. In this session, you will learn how US News and World Report, founded as a media company in 1933, chose to put their customers first and implemented Vertex AI Search. After launching the feature for only a few weeks, US News saw a double digit impact in key metrics like click-through rate, time spent on page, and traffic volume to its pages. Join us to learn how US News pulled it off with Google Cloud!

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.