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Topic

GenAI

Generative AI

ai machine_learning llm

1517

tagged

Activity Trend

192 peak/qtr
2020-Q1 2026-Q1

Activities

1517 activities · Newest first

Developing GenAI applications quickly can represent a daunting challenge for today's businesses. But no longer. In this session, we'll demonstrate how Deloitte's AI Studio enables rapid development of compelling GenAI applications in no-code, low-code and pro-code environments, while working seamlessly with Google Cloud native tools. We'll explore the platform's suite of pre-configured capabilities and accelerators, and highlight use cases. Please note: seating is limited and on a first-come, first served basis; standing areas are available. 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.

Want to get your everyday jobs done faster with expert-level help from Google Cloud’s latest generative AI assistant? Check out three things that you can try today to improve your productivity and up-level your operational game with Gemini in the Cloud Console at this session. We’ll cover advanced IT topics that can be made easier with Gemini in the console, and go beyond simple Q&A to build advanced, multiturn conversations that help enterprise-level IT admins augment their own expertise with 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.

Document understanding drives business process automation across industries and is a key use case for leveraging generative AI in enterprise. Vertex AI provides a complete portfolio of products and building blocks for fast, cost-effective document processing. Join this session to learn how Vertex AI’s platform offerings work alongside Vertex AI Search and Document AI to support end-to-end document processing scenarios. Learn from SAP and Zebra Technologies on how they are leveraging Vertex AI to solve key business challenges.

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.

Unleash learning's revolution with generative AI! This session equips you to upskill curriculums and reskill teams. We'll explore generative AI's potential, best practices for integration, and tools to track progress and measure impact. Identify skill gaps, develop reskilling plans, and empower developers with new skills. Leave ready to transform your programs.

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.

Getting insights from your business data should be as easy as asking Google. That is the mission for Looker – instant and insightful, able to alert you when it really matters and to guide you to impactful decisions faster than ever, powered by the most important information: yours. Join this session to learn about how AI is reshaping our relationship with data, and how Looker is leading the way.

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 the capabilities of RoostGPT in our upcoming session, an innovative testing platform at the forefront of generative AI and Large Language Models (LLMs). RoostGPT is engineered to redefine test case generation, enabling the creation of detailed and accurate test suites without the need for manual effort. It facilitates the automated generation of Unit, API, Integration, and Functional tests, significantly increasing productivity and expanding test coverage. 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.

Avery Dennison empowered their employees with generative AI to enable secure, flexible, and borderless collaboration for enhanced productivity to drive growth. During this insightful session, Avery Dennison, TCS, and Google Cloud will examine this innovative business transformation, utilizing an enterprise collaboration platform that automates business processes, builds reliability services, and focuses on self-service capabilities.

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.

Have you ever wondered what it takes to build a unique multicustomer generative AI experience? How would you secure it? Scale it? Where would you start? This is the story of how our ambitious two-pizza team built an interactive custom LLM-powered chatbot in only two weeks. We'll cover what we learned, what we'd do differently, and what’s changed.

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.

Document use cases are a primary focus for generative AI implementations. Join us for a discussion on how Vertex AI is helping revolutionize the way customers process and gain insights from their documents. Commerzbank and Equifax will be our guests and will discuss how they’ve implemented document solutions using Vertex AI. 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.

Learn from a panel of leading security companies about why they build customer SaaS on Google Cloud, and how they’re partnering with Google to use generative AI to drive transformational change in the industry.

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 an insightful session dedicated to empowering companies in their pursuit of end-to-end generative AI success on Google Cloud. This discussion will guide organizations through their data and AI journey, highlighting proven strategies and pitfalls to avoid. Through customer stories, participants will gain valuable insights into real-world challenges and triumphs, offering a roadmap to seamlessly move from one stage of the AI journey to the next. Accelerate your generative AI maturity and unlock the full potential of your data, gen AI, and Google Cloud. 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.

As we stand on the cusp of the generative AI era, industries are gearing up to harness the transformative power of AI. This panel session delves into the critical preparatory measures required for organizations to effectively navigate the generative AI landscape, including:

-The need for adequate volume and quality of data. -Identifying the right set of tools and technologies. -Choosing the right use case based on business value, ethics, and compliance.

Learn from leaders in a range of industries about how they are preparing for the gen AI era and beyond.

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.

Relying on third-party-hosted artificial intelligence (AI) models may not always be an option for your application. You are also not guaranteed support for those model endpoints through your next software release. By hosting state-of-the-art AI models like Gemma in the same environment as AlloyDB Omni, you can run scalable generative AI apps on any cloud or on premises, for regulatory needs, with low latency. Learn from Neuropace how they run Omni for enterprise-grade vector search capabilities in their local environment, which contains sensitive customer workloads.

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 if your customer’s shopping experience could change with their mood or adapt to what they are specifically looking for today? With generative AI, retailers and consumer package goods companies can create an ultra-personal mind reader-type experience for their shoppers, across the omni-channel. Join Accenture and Google to learn more about how shopping can become hyper-personal, dynamic, and increase business outcomes.

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.

Generative AI is rapidly changing the landscape of the fashion industry, impacting everything from ideation, design, manufacturing, supply chain to branding. This talk demonstrates how we can leverage Google’s multimodal generative AI tools to enhance our creativity throughout the design process: from fashion trend analysis, finding design inspiration, garment style design, fabric print design, render of the final look, to branding and social media engagement. This talk is for anyone interested in the future of fashion with generative 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.

Vertex AI offers capabilities to customize and tune foundation models on your data for improved performance, as a unique offering to your customers. This includes techniques such as supervised fine-tuning (SFT), reinforcement learning from human feedback, and distillation. We will dive deep into SFT, learn how Vertex lets you customize Gemini models with hundreds of examples cost-effectively. We will also discuss distillation, a technique that uses a teacher model to train smaller student models to perform certain tasks better, at a lower cost and with lower latency. You will also get tips from Palo Alto Networks, based on their real-world experience.

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 mini course, you will explore the use of Gemini, PaLM, and other generative AI models using Vertex AI Studio. You will learn how to design and tune prompts to ensure the best outputs for your applications and discuss other services in Vertex AI Studio to improve output quality.

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.

Women in AI experts will provide a unique perspective on why it is important to start with the data for algorithms to be ethical, be it for new transformations or for enterprise transitions towards the Generative AI era. Data governance along with regulatory audits are not sufficient anymore, and the multifaceted responsibilities towards an accessible and inclusive future for all humans requires a comprehensive data strategy. The panelists will share industry perspectives from finance and sustainability that emphasize privacy, security, synthetic data, and maturity scores to scale ethical models.

There's no problem more existentially fundamental than climate collapse. Nations and businesses worldwide are scrambling to adapt, anticipate, and mitigate while dramatically reducing the impact they have on the planet. In this session, data and AI expert Navdeep Martin looks at how three organizations were already tackling these monumental changes—and how generative AI is changing their transformations.

Women in AI experts will discuss why data matters for inclusion to be effective in the models being trained. Understanding not only the outputs for individuals, rather how outcomes impact broader communities is a key consideration. Continuously iterating and testing the models is critical to address gender inequities, and the panelists will explore industry use cases from the financial services sector, as well as disinformation in news and media.