talk-data.com talk-data.com

Topic

AI/ML

Artificial Intelligence/Machine Learning

data_science algorithms predictive_analytics

9014

tagged

Activity Trend

1532 peak/qtr
2020-Q1 2026-Q1

Activities

9014 activities · Newest first

Level up your Java apps with the power of Gemini. This session explores how Java developers can easily integrate generative AI features into their applications using LangChain4j. We’ll cover everything from building chatbots and implementing in-context learning to creating agentic workflows and using advanced techniques like unstructured data extraction. Learn best practices and build smart, AI-powered Java applications with ease. No Python experience required.

session
by Chris Hein (Google) , Josh Klemm (NYS Thruway) , Toks Omishakin (CalSTA) , Carlos Braceras (Utah Department of Transportation) , Neal Hawkins (State of Iowa)

The future of transportation is intelligent, and AI is the driving force. This session features leaders from public sector agencies who will share how AI is being applied to improve our transportation systems and enhance overall public safety.

Build a multimodal search engine with Gemini and Vertex AI. This hands-on lab demonstrates Retrieval Augmented Generation (RAG) to query documents containing text and images. Learn to extract metadata, generate embeddings, and search using text or image queries.

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!

Google's Data Cloud is a unified platform for the entire data lifecycle, from streaming with Managed Kafka, to ML feature creation in BigQuery, to global deployment via Bigtable. In this talk, we’ll give you a behind the scenes look at how Spotify's recommendation engine team uses Google's Data Cloud for their feature pipelines. Plus, we will demonstrate BigQuery AI Query Engine and how it streamlines feature development and testing. Finally, we'll explore new Bigtable capabilities that simplify application deployment and monitoring.

Google Cloud’s Cross-Cloud Network delivers powerful, AI-powered network security to protect your cloud infrastructure from a wide variety of network threats. This session showcases the latest innovations, including advanced malware protection, domain name system [DNS) security, data loss prevention, network security posture controls, DDoS protection, web application protection, and a cloud-first mechanism to easily integrate third-party network security services.

Learn how Dun & Bradstreet, a leading provider of business decisioning data and analytics, supercharged their business with Google Cloud. You’ll learn how Dun & Bradstreet achieved a 95% decrease in data onboarding time and a 50% reduction in data latency, and how they unlocked new revenue streams with AI. Learn how they built an enterprise-grade data cloud, and new and innovative AI solutions. Join us to find out how your organization can leverage Dun & Bradstreet’s experience and learnings to achieve similar success in your own data analytics and AI journey.

In today's rapidly evolving technological landscape, enterprises face significant hurdles in developing and implementing mission-critical AI applications such as agentic or physical AI. This session will explore how organizations can harness the power of NVIDIA DGX Cloud on Google Cloud, a high-performance, fully-managed AI platform, to accelerate the next era of AI. Learn how to drive innovation in an increasingly competitive landscape, and achieve lower TCO.

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.

Unlock the potential of AI with high-performance, scalable lakehouses using BigQuery and Apache Iceberg. This session details how BigQuery leverages Google's infrastructure to supercharge Iceberg, delivering peak performance and resilience. Discover BigQuery's unified read/write path for rapid queries, superior storage management beyond simple compaction, and robust, high-throughput streaming pipelines. Learn how Spotify utilizes BigQuery's lakehouse architecture for a unified data source, driving analytics and AI innovation.

Startup developers, are you ready to build? In this hands-on workshop, you'll design and code a generative AI app using Gemini and Vertex AI. Through focused coding exercises, you'll master essential skills in prompt engineering, multimodal AI, and real-world implementation. Walk away with functional AI code—and the foundation to power your AI-driven future.

**Please bring your laptop to get the most out of this hands-on session**

Discover how AI-driven personalization and agentic architecture are helping revolutionize customer experiences and operations in financial services. In this insightful panel discussion with leadership from USAA and Deloitte, we'll explore the next generation of AI-enabled end-to-end data value chains and highlight some top trends that are reshaping today's technology organizations.

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.

session
by Davide Corda (Intesa Sanpaolo) , John Bottega (Enterprise Data Management Council) , Lu Yang (Google Cloud) , Art Kaluza (ANZ Bank) , Sanjay Krishnamurthi (Google Cloud)

Discover strategies for transforming your data and AI landscape by making governance a competitive advantage. Learn from industry executives on how to establish robust governance frameworks, ensuring confidence and control in your data and AI initiatives, and gain actionable insights to position your organization for successful AI-driven innovation.

session
by Lorenzo Caggioni (Google Cloud) , Guido Marangoni (Università degli Studi di Padova)

Ready to build more accessible apps? Generative AI can help. This session provides practical strategies and real-world examples of using GenAI to: Design personalized assistance that guides users seamlessly. Generate image descriptions that make visual content accessible to all. Provide concise summaries that empower users to quickly grasp key information. Learn how to harness the power of Generative AI and create apps that are truly accessible.

Unleash the power of Gemini with Vertex AI Studio. This hands-on lab guides you through using Gemini for image analysis, prompt engineering, and conversational AI, all within a user-friendly interface. Learn to design prompts and generate content directly from the Google Cloud console.

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!

Ever wonder how Google Cloud supports billions of daily users worldwide? Dive into the world of Google’s cloud regions, global expansion, and data centers. This session unveils the innovative technology behind these modern marvels and the operational expertise that keeps them humming. Learn about our cutting-edge efficiency and state-of-the-art security. Discover how innovation and sustainability is key to our design and how you can apply Google’s best practices to your own infrastructure.

Hear from Kaggle Grandmasters from NVIDIA and beyond as they talk through how they approach competitions, current events in AI and answer your questions! We're inviting the folks who submit the best and most interesting questions to chat with the Grandmasters after in a small group setting. Sharpen your thinking cap and let us know what's really on your mind!

For years, mainframe modernization seemed out of reach. Generative AI breakthroughs, led by Google’s Gemini, offer automated assessments, code transformation, and risk mitigation for accelerated and cost-effective cloud migration. Learn from Ford and Intesa Sanpaolo about how they reduced costs, boosted performance, and embraced innovation by modernizing their core applications off the mainframe and onto Google Cloud. Learn how Google Cloud’s mainframe modernization solutions can work for your digital transformation journey.

Google Workspace customers are switching to Google Chat and Google Meet, AI-first collaboration tools that seamlessly integrate with the Workspace apps you use every day. Learn how they migrated from costly point solutions to enhance collaboration, improve data security, reduce costs, and unlock new levels of team productivity with Gemini.

session
by Karanbir Singh (Crowdstrike) , Cheng Wei (Google Cloud) , Ilias Katsardis (Google Cloud) , Andrei Preda (Crowdstrike)

Cluster Director is designed to deliver resilient AI systems at any scale, offering exceptional performance, efficiency, and ease of use. In this session, we’ll guide you through our NVIDIA GPU roadmap and showcase five Google innovations integrated into Cluster Director, illustrated with real-world examples of how they tackle the biggest challenges in distributed training to maximize performance throughput.

Securing AI applications demands a full life cycle approach. Palo Alto Networks integrates AI Runtime Security and AI Security Posture Management (AI-SPM) to protect your workloads from development to runtime. Gain inline data protection, prevent model misuse, and stop zero-day threats with centralized security policies and real-time threat detection. Discover how to automate security, reduce risk, and safeguard sensitive data while enabling innovation in your AI ecosystems.

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.