Explore how distributed cloud solutions solve for computing in sensitive on-premises, harsh, and remote environments with stringent regulatory and sovereignty requirements. Learn how these solutions enable secure access to advanced cloud capabilities like data analytics and AI within completely isolated environments, ensuring strict compliance and data residency. Key implementation and management considerations will be discussed.
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This session explores the evolution of data management on Kubernetes for AI and machine learning (ML) workloads and modern databases, including Google’s leadership in this space. We’ll discuss key challenges and solutions, including persistent storage with solutions like checkpointing and Cloud Storage FUSE, and accelerating data access with caching. Customers Qdrant and Codeway will share how they’ve successfully leveraged these technologies to improve their AI, ML, and database performance on Google Kubernetes Engine (GKE).
Delivering data products across cloud and on-prem environments delivers critical competitive advantage. Ab Initio’s innovative architecture connects two of your most important assets - your people and your data. Discover a platform that delivers the fastest and most cost-effective solution for Data Product delivery by leveraging a unique combination of AI, semantic knowledge, and a metadata-driven compute fabric. By harnessing the elasticity of cloud compute, your organization will scale seamlessly, and securely, and meet growing data demands.
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.
Did you know that GitHub Copilot lets you use Google Gemini as an AI programming assistant? Learn tips and tricks of prompting, shaping the context space, injecting third-party knowledge sources, and other ways that GitHub developers maximize their (and their team's) use of Gemini in VS Code and other IDEs.
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.
Experience the power of AlloyDB Omni, a cutting-edge PostgreSQL-compatible database designed for multicloud and hybrid cloud environments. This session explores how AlloyDB Omni accelerates the development of modern applications, enabling generative AI experiences, efficient vector search, real-time operational analytics, and scalable transactional performance. We’ll also showcase how to run your applications on multiple clouds using Aiven’s seamless managed service, and how to supercharge hybrid cloud deployments with cloud-ready partners.
Unleash the full potential of large language models (LLMs) on your edge devices, even when there’s spotty internet. This session explores a hybrid approach that combines the power of cloud-based LLMs with the efficiency of on-device models. Learn how to intelligently route queries, enabling laptops and mobile phones to perform complex tasks while maintaining snappy performance. View demos of efficient task routing that optimizes for quality and cost to ensure your apps run smoothly, even during network disruptions.
Discover how Google Distributed Cloud empowers partners to deliver AI solutions for edge and on-premises environments. Learn how the GDC Partner Initiative can help you drive innovation with customers, expand service offerings, and grow revenue. Hear directly from one of our pioneering partners about their journey leveraging GDC to capitalize on market demand while creating new business opportunities in a rapidly evolving market.
Are you a site reliability engineer (SRE) for an organization running generative AI workloads? If gen AI is transforming your workloads, are your SRE skills keeping pace? This session is a must for SREs facing the unique challenges of gen AI. Learn to adapt the four golden signals – tackling latency in multistage pipelines, user satisfaction in nondeterministic systems, and new error types like hallucinations. Discover how Google Cloud Observability and Firebase Genkit AI monitoring can help you master gen AI SRE.
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!
Discover how Snap and Google Cloud are redefining AI-powered engagement through cross-team collaboration with Google. This session will teach you how Snapchat leverages Google to enable their growth and platform advancement. Gain insights into Snap’s holistic journey, the impact of a tailored Google approach and engagement model, and strategies for startups to integrate Google’s solutions to enable the growth of your platform.
Connect with other security professionals in our Birds of a Feather sessions. Dive into lively discussions with peers and Google Cloud experts on key security topics, including identity and access management, network security, multicloud monitoring, and more.
This hands-on lab introduces Gemini 2.0 Flash, the powerful new multimodal AI model from Google DeepMind, available through the Gemini API in Vertex AI. You'll explore its significantly improved speed, performance, and quality while learning to leverage its capabilities for tasks like text and code generation, multimodal data processing, and function calling. The lab also covers advanced features such as asynchronous methods, system instructions, controlled generation, safety settings, grounding with Google Search, and token counting.
If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!
Discover how Google Cloud VMware Engine empowers partners to accelerate enterprise cloud migrations and drive successful 3-5 year cloud transformations with customers. This session will highlight lucrative partner incentive programs and demonstrate how GCVE enables rapid, seamless migrations with minimal disruption, unlocking new opportunities for partners and delivering exceptional value to customers.
Hear how the revolutionary strategies and cutting-edge technologies are transforming organizations to navigate an unpredictable cybersecurity landscape. Discover how emerging trends and innovative solutions are shaping the way we protect our digital assets. Learn more about the latest advancements in borderless IT, Zero Trust, multi-cloud environments, and AI-driven security. It’s an engaging and insightful journey into the latest in cybersecurity.
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.
In today's digital landscape, organizations are sitting on untapped potential within their cloud environments. While many enterprises have made the initial move to Google Cloud, true value creation comes from modernizing applications and operations to fully leverage cloud-native capabilities. The journey typically unfolds across multiple phases and each phase can compound the benefits. But don't let the complexity of modernization hold you back.
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.
This session explores building sensitive data protection directly into Retrieval-Augmented Generation (RAG) architectures. We'll demonstrate how to leverage Cloud Data Loss Prevention (Cloud DLP) and the Faker Library to anonymize sensitive data within the RAG pipeline. The session will cover techniques for reversible transformations using Memorystore and Firestore for data mapping, and discuss integrating these methods with Large Language Models (LLMs) like Gemini via LangChain and Vertex AI Search. Learn how to create secure and compliant AI solutions that protect sensitive data and adhere to regulations like the EU AI Act.
Abstract - AI is revolutionizing the underwriting process in the insurance industry. This session will explore how AI-driven models can streamline risk assessment, enhance decision-making, and improve customer experiences. We'll discuss the benefits of AI in underwriting, along with the challenges and ethical considerations of implementation. Attendees will gain insights into the latest AI tools and best practices for integrating AI into their underwriting workflows, driving efficiency and accuracy in risk 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.
What if building an AI agent that thinks, reasons, and acts autonomously took less time than your coffee break? With Vertex AI, it’s not just possible. It’s easy. Join DoiT to see how to build, deploy, and scale a production-ready AI agent in 10 minutes using Google’s top services: Gemini 2 for language understanding, the RAG Engine for fetching information, and the Agent Engine for orchestration. To top it off, watch a live demo take an agent from concept to production-ready in real time.
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.
This session dives into building a modern data platform on Google Cloud with AI-powered data management. Explore how to leverage data mesh architectures to break down data silos and enable efficient data sharing. Learn how data contracts improve reliability, and discover how real-time ingestion empowers immediate insights. We'll also examine the role of data agents in automating data discovery, preparation, and delivery for optimized AI workflows.
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.
AI agents are revolutionizing automation, efficiency, and innovation. Join this lightning talk to discover how AI Agentspace 3P on Google Cloud Marketplace unlocks new revenue streams, extends customer reach and enables you for joint GTM and cosell opportunities.