talk-data.com talk-data.com

Topic

vod-recorded-session

410

tagged

Activity Trend

351 peak/qtr
2020-Q1 2026-Q1

Activities

410 activities · Newest first

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.

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.

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.

This session brings together leading product experts from Google Cloud, Anthropic, Oracle, Databricks, and SAP to explore the five essential strategies for enterprises to successfully leverage AI and data. Attendees will gain valuable insights from real-world AI implementations, learn from the successes and challenges faced by global customers, and receive practical guidance on how to translate these strategies into actionable plans for their own AI journeys.

Discover the breakthrough AI capabilities transforming cloud operations and management. Join us for an overview of Gemini Cloud Assist and learn how it brings you an AI-based cloud management experience. Gemini Cloud Assist empowers you to design and deploy apps faster, troubleshoot issues with AI insights, and optimize performance and costs through intelligent recommendations. We’ll showcase its new capabilities and integrations in various Google Cloud products, and show you how it can completely reshape your cloud management experience.

This session offers insight on diverse AI user journeys to help you visualize AI’s potential. Drawing on Google’s experience working with different clients, our experts will showcase impactful ways customers are driving their businesses forward with Google Workspace with Gemini. We’ll explore different use cases, demonstrating how AI can optimize operations, enhance experiences, and unlock new growth opportunities.

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

session
by Lisa O'Malley (Google Cloud) , Yasmeen Ahmad (Google Cloud) , Sundar Pichai (Google) , Payal Chakravarty (Google Cloud) , Thomas Kurian (Google Cloud) , Amin Vahdat (Google Cloud) , Nenshad Bardoliwalla (Google Cloud) , Gabe Weiss (Google Cloud) , Nav Jagpal (Google Cloud) , Patrick Marlo (Google) , Brad Calder (Google Cloud) , Sandra Joyce (Google Cloud)

Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

session
by Lisa O'Malley (Google Cloud) , Yasmeen Ahmad (Google Cloud) , Sundar Pichai (Google) , Payal Chakravarty (Google Cloud) , Thomas Kurian (Google Cloud) , Amin Vahdat (Google Cloud) , Nenshad Bardoliwalla (Google Cloud) , Gabe Weiss (Google Cloud) , Nav Jagpal (Google Cloud) , Patrick Marlo (Google) , Brad Calder (Google Cloud) , Sandra Joyce (Google Cloud)

Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

Up to 90% of organizations are building across cloud environments, from edge to to multiple clouds - and the scale and speed of AI is putting pressure on these architectures. In this spotlight discover how organizations are leveraging decades of our infrastructure expertise to build secure, sovereign AI solutions. Also, learn how industry leaders are using the latest advances in networking, storage, and distributed cloud solutions to accelerate AI solution deployment anywhere.

session
by Jeff Goodby (Goodby, Silverstein & Partners) , Martin Pagh Ludvigsen (Goodby, Silverstein & Partners) , Tomas Moreno (Google Cloud) , Khanh LeViet (Google Cloud) , Justin Thomas (Kraft Heinz)

Curious about the future of media creation? Explore the latest announcements and capabilities for Imagen, Veo, and Lyria, Google’s suite of generative AI media tools. Witness demonstrations of new features and discover how they can revolutionize your creative workflows.

There’s an old saying: “If you fail to plan, you are planning to fail.” This is true when it comes to migrating workloads to the cloud. Attempting a move without insights into your apps is setting the stage for disaster. How can you ensure your migration to Google Cloud is secure and meets your customers’ expectations? We’ll discuss the role Datadog plays in a migration to Google Cloud. We’ll explore best practices and guide you through the steps to achieve a seamless and successful migration.

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.

Join us to learn how to design and deploy mission-critical applications on Google Cloud, with a focus on reliability. We’ll cover common deployment architectures for traditional enterprise and AI and machine learning apps, Google Cloud product capabilities to improve reliability, and best practices for high availability and disaster recovery. And a Google Cloud customer will share their journey of running mission-critical applications on Google Cloud, including key lessons learned and how those connect back to Google Cloud architectural guidance and best practices.

session
by Moontae Lee (LG AI Research) , Cesar Naranjo (Moloco) , Chelsie Czop (Google Cloud) , Kshetrajna Radhaven (Shopify) , Newfel Harrat (Google Cloud) , Kasper Piskorski, PhD (Technology Innovation Institute)

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

AI Hypercomputer is a revolutionary system designed to make implementing AI at scale easier and more efficient. In this session, we’ll explore the key benefits of AI Hypercomputer and how it simplifies complex AI infrastructure environments. Then, learn firsthand from industry leaders Shopify, Technology Innovation Institute, Moloco, and LG AI Research on how they leverage Google Cloud’s AI solutions to drive innovation and transform their businesses.

APIs dominate the web, accounting for the majority of all internet traffic. And more AI means more APIs, because they act as an important mechanism to move data into and out of AI applications, AI agents, and large language models (LLMs). So how can you make sure all of these APIs are secure? In this session, we’ll take you through OWASP’s top 10 API and LLM security risks, and show you how to mitigate these risks using Google Cloud’s security portfolio, including Apigee, Model Armor, Cloud Armor, Google Security Operations, and Security Command Center.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.