Don't let Gen AI pitfalls derail your enterprise's success. We explore common challenges that hinder implementation, including prioritization paralysis, the seductive "proof-of-concept" trap, managing unpredictable outputs and model hallucinations, and keeping pace with rapid innovation. We highlight strategies to mitigate these risks, emphasizing the crucial role of your unique data in achieving competitive advantage. Increase your chances of achieving meaningful gen AI success by learning how to navigate these obstacles.

This Session is hosted by a Google Cloud Next Sponsor.
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Explore how Newsweek utilized Google Cloud to enhance its digital experience. Discover how their small IT team implemented Vertex AI Enterprise for search and translation across 7 languages, enabling improved content discovery and a personalized user experience. This session will showcase how your organization can leverage AI and cloud technologies to drive user engagement, increase revenue, and reach a global audience.

Experience the future of AI with Google Cloud! Speak with Agentspace experts to learn how it can provide conversational assistance and take actions based on your company’s unique information. See topic details for each time block here.

Experience the future of AI with Google Cloud! Speak with customers who are building innovative AI solutions and learn directly from them. This experience offers a real-world look into "how we built it" discussions, giving you the chance to explore the possibilities. See detailed schedule of each timeblock here.

Move beyond AI pilots to scalable AI impact.

Enterprise AI is not just a technological innovation—it's a competitive necessity. To fully harness the potential of AI, organizations need more than just technology—they need a clear, forward-looking roadmap. Infosys is redefining what it means to be an AI-first enterprise. This session delivers a roadmap for building a robust, responsible AI foundation - with data that is Ready for AI, including the strategic realization of Agentic AI. Join us to explore the path to a future based on Enterprise AI.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Good customer experiences are a crucial factor in business growth and efficiency. Learn how to deliver exceptional customer outcomes with Google's Customer Engagement Suite (CES). Powered by Gemini, CES combines advanced conversational AI with multimodal, omnichannel capabilities to enable faster, more personalized digital experiences. This session explores CES value for customers and partners, go-to-market strategies, and real-world success stories.

As AI continuously transforms the way we work, fostering genuine human connection and amplifying voices is more crucial than ever. This session explores how Google's Engineering Education (engEDU) organization uses peer-to-peer learning to build communities, break down silos, and drive collaborative innovation across Google. We will share our journey of scaling mentorship, and demonstrate how this human-centric approach strengthens company culture, creates opportunities for growth, and unlocks the full potential of every employee. Attendees will leave with practical strategies and the inspiration to contribute to a more connected world.

We invite you to explore how Cognizant's Generative AI-powered solution transforms contract negotiations. This advanced technology reduces contract review time from 92 minutes to just 26 seconds, achieving a 10% increase in accuracy. It possesses a distinctive ability to identify and risk-score non-standard contract language, equipping negotiators with a contextual understanding of risk levels. This solution facilitates data-driven decision-making, mitigates financial risks, and provides a proactive approach to contract management.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Definity and Quantiphi share the transformative journey of AI-driven Mainframe Modernization. By building a future-proof platform on Google Cloud for their legacy infrastructure and using Quantiphi’s GenAI-based developer productivity accelerator called 'Codeaira', Definity is unlocking a new wave of innovation in the insurance industry.  This session will address the value of AI-driven digital transformation in tackling the insurance sector's business and technical challenges while improving efficiency, customer engagement, and analytics.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Discover how to integrate AI and Gen AI capabilities to unblock data quality issues, streamline the deployment processes of a data platform, and empower data teams to accelerate the development of customized data products. By automating data product and pipeline creation, infrastructure deployment, data quality, and PII controls, you can reduce engineering efforts by 30-40% and develop products three times faster. Learn how this approach has helped clients create data products faster and more cost-efficiently across various industries.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Code assist tools are transforming software development, enhancing productivity with intelligent suggestions and automation. Yet they also pose challenges in ensuring code security, managing observability, and addressing risks from automation. Join experts from Google Cloud, Datadog, GitLab, Harness, and Snyk in a dynamic panel as they explore the potential of code assist tools and share strategies to mitigate risks, safeguard workflows, and maximize the impact of these tools in today’s fast-paced development landscape.

Explore the future of data management with BigQuery multimodal tables. Discover how to integrate structured and unstructured data (such as text, images, and video) into a single table with full data manipulation language (DML) support. This session demonstrates how unified tables unlock the potential of unstructured data through easy extraction and merging, simplify Vertex AI integration for downstream workflows, and enable unified data discovery with search across all data.

Cloud Run is an ideal platform for hosting AI applications – for example, you can use Cloud Run with AI frameworks like LangChain or Firebase Genkit to orchestrate calls to AI models on Vertex AI, vector databases, and other APIs. In this session, we’ll dive deep into building AI agents on Cloud Run to solve complex tasks and explore several techniques, including tool calling, multi-agent systems, memory state management, and code execution. We’ll showcase interactive examples using popular frameworks.

The next generation of intelligent business applications is here and powered by generative AI. In this session, you will learn about Spanner's latest graph capabilities and how GraphRAG can help you deliver richer contextual generative AI applications. Discover how to leverage a consolidated data platform to create smarter, more intuitive applications and drive business innovation.

Unlock the full potential of Compute Engine for all your applications. This session delivers actionable strategies and best practices to optimize cost, reliability, and management for cloud-first, AI, machine learning, high performance computing, enterprise, and stateful workloads. We’ll share recently released features within Compute Engine to maximize return on investment for each specific application type.

Harness the power of AI agents with rich conversational experiences. This session will cover the practical applications of AI agents and how your teams can use them in a low- to no-code development environment. Learn to build, test, and deploy AI-powered conversational agents that seamlessly integrate into your business workflows. Discover techniques for in-depth performance analysis and continuous optimization of your AI agents.

Supercharge your applications and drive revenue growth with Looker Embedded. This session reveals how to seamlessly integrate powerful data experiences and AI-driven insights directly into your products. Discover how to increase customer engagement, unlock new revenue streams, and gain a competitive advantage. Learn how to reduce development time and costs by leveraging the robust Looker platform. Join us to learn how Looker can help you transform your applications and deliver actionable intelligence to your customers.

Want to build your own Gemini-powered applications? Bring your laptops. This technical session provides the interactive experience you need. We’ll guide you through practical examples and code snippets, and cover how to start creating with the Gemini SDK on Vertex AI.

In today’s fast-paced market, data is key to innovation. This session explores how Apigee, combined with Google Distributed Cloud, enables organizations to unlock the value of their data, regardless of its location. Learn how to operationalize data across legacy systems, the cloud, and edge environments to build cutting-edge solutions like generative AI and advanced analytics. Discover how Apigee simplifies data accessibility and interoperability, accelerating your time to market and maximizing the potential of your data assets.

This session explores real-world success stories from world-leading companies in financial services, retail, healthcare, gaming sectors, and more. The forum is ideal for business leaders, technical executives, product managers, and developers to see how gen AI is being used for automation, personalization, knowledge extraction, differentiated experiences, operational efficiency, and user protection within their own organizations.

Cloud, AI, and data analytics technologies have the potential to revolutionize healthcare - streamlining eligibility determination, automating administrative processes, and providing greater access to critical services. By tailoring interventions, resources, and communication strategies to individual needs, technology can enable more effective, engaging, and personalized care for all.

Model Armor is designed to protect your organization’s AI applications from security and safety risks. In this session, we’ll explore how Model Armor acts as a crucial layer of defense, screening both prompts and responses to identify and mitigate threats such as prompt injections, sensitive data leakage, and offensive content. Whether you’re a developer looking to implement AI safety or a professional interested in better visibility into AI applications, Model Armor offers comprehensive yet flexible security across all of your large language model (LLM) applications.

Tensor Processing Units (TPUs) are a hardware accelerator designed by Google specifically for large-scale AI/ML computations. Google's new Trillium TPUs are our most performant and energy-efficient TPUs to date, and offer unprecedented levels of scalability. Ray is a unified framework for orchestrating AI/ML workloads on large compute clusters. Ray offers Python-native APIs for training, inference, tuning, reinforcement learning, and more. In this lightning talk, we will demonstrate how you can use Ray to manage workloads on TPUs with an easy-to-use API. We will cover: 1) Training your models with MaxText, 2) Tuning models with Huggingface, and 3) Serving models with vLLM. Audience can gain an understanding of how to build a complete, end-to-end AI/ML infrastructure with Ray and TPUs.

Leaders of small businesses from around the globe take the stage to discuss how they’re using generative AI to bring positive change to their communities and environment. In this panel, we’ll show you how there are no limits to what your business can create.