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

session
by Peter FitzGibbon (SADA, An Insight Company) , Joel Pingel (Google Cloud) , Amy Pechacek (Wisconsin Department of Workforce Development (DWD))

The Wisconsin Department of Workforce Development (DWD) is spearheading a groundbreaking digital transformation to enhance services for employers and job seekers. Through an innovative partnership with SADA and Google Cloud, the Wisconsin DWD is building a modern, secure, and user-friendly employer portal designed to streamline processes and increase accessibility. Join the Wisconsin DWD, SADA, and Google as they share insights into this transformation and explore key industry trends shaping the future of digital innovation in the public sector.

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.

With rising complexity, increasing data volumes, and ever-changing threats, it’s imperative to adopt a threat-driven approach to security operations. This session explores how Google’s security products infuse threat intelligence to help organizations understand the threats that matter most to them, and ensure that they have the detections and security controls to successfully mitigate those threats. We’ll explore real-life scenarios of actual discovered threats and show how organizations can hunt, detect, and contain them.

session
by Sashanka Vishnuvajhala (Fanatics) , I-Chaing Chen (Nordstrom) , Noah Freeman (Google Cloud) , Jatin Pahuja (Albertsons Companies Inc) , Shray Gulati (Google Cloud)

Want to create a world-class search experience that drives sales? This session will reveal how to replicate Google’s search quality in your commerce platform. Join us to explore how VAIS:Commerce is going beyond its industry leading AI search and recommendations and ushering in a new era of AI-powered shopping experiences using cutting-edge conversational AI and agents to create personalized journeys, boost conversions, and redefine customer engagement.

This session delves into the practical applications of AI in transforming customer support within the travel and retail industries. We’ll examine how businesses are pairing real-time digital insights with AI-powered conversational servicing to enhance customer interactions and streamline support processes. Explore real-world examples of how these advancements are leading to significant improvements in efficiency, customer satisfaction, and agent empowerment.

Find out how leading customers have successfully done large-scale VMware migrations to Google Cloud. Join us in this exciting customer panel to learn directly from Google Cloud VMware Engine customers about how they’ve successfully completed their VMware transformation journeys.

Stop struggling to unlock the transformative power of AI. This session flips the script, revealing how your existing Kubernetes expertise is your greatest advantage. We'll demonstrate how Google Kubernetes Engine (GKE) provides the foundation for building scalable, custom AI platforms - empowering you to take control of your AI strategy. Forget starting from scratch; leverage existing skills to architect and deploy AI solutions for your unique needs. Discover how industry leaders like Spotify are harnessing GKE to fuel responsible innovation, and gain the insights to transform your Kubernetes knowledge into your ultimate AI superpower.

Picture this: You pull up to your favorite drive-thru, but instead of the usual crackly intercom, a friendly AI agent greets you by name, already knows your go-to order, and suggests the perfect milkshake to complement your burger. Join us in discovering how the Food Ordering AI Agent can radically improve customer satisfaction and increase employee efficiency while generating upsell revenues. 

This session demonstrates how BigQuery ML connects all your data to cutting-edge AI using familiar SQL. Learn practical steps to build, train, and deploy machine learning (ML) models for predictive analytics directly in BigQuery while minimizing complexity and data movement. Discover ways to perform tasks such as sentiment analysis, audio transcription, and document classification with the latest models from Gemini, Claude, Llama, and others directly in BigQuery without the need for advanced Python or specialized ML skills.

Are you a DevOps engineer or site reliability engineer (SRE) tasked with keeping mission-critical applications running 24/7? What if AI could help you detect, diagnose, and resolve incidents faster than ever before? Join the session to learn how to use AI assistance to diagnose and troubleshoot incidences and improve the mean time to detect (MTTD) and mean time to repair (MTTR). Charles Schwab partnered with Google Cloud on exploring the capabilities of Gemini Cloud Assist. And in this session, they’ll share their firsthand experiences testing Gemini Cloud Assist to enhance the reliability of their login application that handles millions of logins daily. Get practical AI skills and tips that you can put into your job right away.

Learn how a team of developers built a serverless toolkit with Cloud Run to simplify application development and deployment. This session shares best practices from Shopify for creating a robust toolkit that empowers developers to seamlessly ship serverless applications while integrating with essential Google Cloud services and adhering to security best practices. Discover how to enhance scalability, reduce toil, and boost productivity.

Applications of the future require a database that transcends historical paradigms. They require advanced in-database capabilities like Graph RAG, vector and full-text search without compromising on critical database properties of compliance, scale, and availability. In this talk, you'll learn how Spanner's native search and interoperable multi-model capabilities enable your developers to build intelligent, global applications on a single, zero-ETL (extract, transform, and load) data platform.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

Companies in the fiercely competitive gaming landscape face constant pressure to create engaging and ever-evolving player experiences. Generative AI can help game developers craft more dynamic, personalized gameplay while reducing time to market. Major game studios are leveraging Google Cloud’s cutting-edge AI capabilities to create immersive player experiences, personalized chatbots, dynamic character interactions, and user-generated content. We’ll show you how you can use Google Kubernetes Engine to easily integrate gen AI with game servers.

session
by Nitin Garg (Google Cloud) , Ian Mortimer (Pexip) , Matthias Rosker (SAP) , Matt Garr (Google Cloud) , Michael Clark (Palo Alto Networks)

Navigating the complex world of compliance can be daunting. Join us to discover how to simplify your compliance journey on Google Cloud, enabling you to build at scale while meeting stringent industry regulations with ease.

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.

Building AI solutions on Google Cloud? This session demystifies our AI infrastructure stack, from pretrained models like Gemini to the Vertex AI managed platform, and all the way down to DIY container runtimes and virtual machines (VMs). Learn how to choose the right level of abstraction for your AI and machine learning (ML) workloads, and leverage the full power of Google Cloud’s AI ecosystem.

AlloyDB for PostgreSQL is Google Cloud’s high-performance, PostgreSQL-compatible database service for your demanding online transaction processing (OLTP), hybrid transactional and analytical, and generative AI applications. In this session, we’ll cover what’s new with AlloyDB, including critical enterprise features across performance, availability, ease of use, and more. You’ll also learn how customers are quickly migrating to AlloyDB with Database Migration Service and how they’ve successfully scaled their workloads with AlloyDB, saving money while doing so.

Build, deploy, and monetize AI agents on Google Cloud. This session covers the full lifecycle — development on Vertex AI, packaging, publishing, and commercialization on Google Cloud Marketplace, deployment on GKE etc., and customer access, including via Google Agentspace. We'll demonstrate leveraging the Google Cloud partner ecosystem to build enterprise-grade agents.

Moving mission-critical applications to the cloud in a regulated industry? In this session, experts from CME Group share a roadmap for achieving operational resilience on Google Cloud. Learn how to implement enterprise-scale observability, proactively troubleshoot issues, and enhance reliability while meeting stringent compliance requirements. Leave equipped with practical knowledge and tools to ensure operational excellence for your critical applications.

Join this session for a discussion on how Replit is using Claude on Google Cloud's Vertex AI to transform software development. Learn how Replit enables anyone to build and deploy production-ready applications from any device, what made Claude the ideal AI partner for their mission, and how this collaboration is empowering the next billion software creators globally.

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.

There are a lot of amazing AI features being announced at Google Cloud Next. In order to take full advantage of these, you need to make sure your data is being managed in a secure, centralized way. In this talk, you’ll learn how to set up your lakehouse to get your data ready for downstream workloads. You’ll view a demo involving an architecture of Google Cloud products that includes managing permissions on your data, configuring metadata management, and performing transformations using open source frameworks.