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

Dive deep into how governance, security, and sharing are innately integrated in BigQuery to power data and AI use cases across your organization. Learn about new innovations that further enhance data governance, security, and collaboration across data and AI assets, without you having to leave BigQuery. Find out how data governance leaders at Walmart and Box are using BigQuery to securely scale data and AI across their organizations.

If you’re responsible for website security and looking to protect against automated bot attacks, account takeovers, authentication fraud, and you’re also looking to reduce the costs of SMS fraud, stolen credit cards, and other transaction fraud mechanisms, this session is for you. We’ll cover the most recent advancements in reCAPTCHA, explore use cases in several large deployments across different industry verticals, learn from an actual customer using reCAPTCHA to protect their website, and dive into the technical details with reCAPTCHA engineering.

Operational technology (OT) systems are the backbone of critical industries, yet they’re increasingly targeted by sophisticated adversaries. In this session, threat intelligence experts from Honeywell and Google explore the evolving OT threat landscape, highlighting real-world attack scenarios and future potential risks. Learn how advanced threat intelligence enables organizations to move from reactive to proactive defense strategies.

Explore the latest advancements in the open source software (OSS) world of in-memory data management and the launch of Memorystore for Valkey. Discover the exciting new features and enhancements in Valkey 8.0, including a preview of upcoming open source innovations on the roadmap. Join us for a deep dive with a customer who will share their real-world experience using Valkey within their architecture. Learn how they leverage the power of in-memory data to achieve exceptional performance and scalability.

Looker is evolving! Join us for a deep dive into the reimagined Looker experience, where data exploration, analysis, and reporting are more intuitive, collaborative, and powerful than ever before. In this session, we’ll explore how Studio in Looker combines the flexibility of Looker Studio visualizations and reporting with the governance and trustworthiness of the Looker semantic layer.

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.

Go 1.24 unlocks the power of WebAssembly (Wasm) with new tooling for building high-performance edge applications. In this session, we’ll show you how to leverage the speed, security, and portability of Go to create low-latency Wasm modules that run on Google Cloud’s Service Extensions. We’ll also show you how Shopify uses Go and Service Extensions to move more application logic to the edge to reliably serve millions of customers.

session
by Rajesh Anantharaman (Google Cloud) , Ian Campbell (Children's Hospital of Philadelphia) , Minho Ryu (Kakao) , Nayeon Kim (Kakao) , Kyle Meggs (Google Cloud)

Discover the cutting edge of foundation model development with JAX on Google Cloud. This session will showcase the latest advancements in the JAX ecosystem, including optimized performance on TPUs and GPUs. Explore new, high-performance models powered by MaxText and MaxDiffusion, delve into enhanced JAX libraries and Stable Stack packages, and learn about advanced diagnostics tools. Gain insights into how leading customers and partners are leveraging JAX on Google Cloud to build and deploy next-generation foundation models at scale.

Time to make generative AI a reality for your application. This session is all about how to build high-performance gen AI applications fast with Cloud SQL for MySQL and PostgreSQL. Learn about Google Cloud’s innovative full-stack solutions that make gen AI app development, deployment, and operations simple and easy – even when deploying high-performance, production-grade applications. We’ll highlight best practices for getting started with Vertex AI, Cloud Run, Google Kubernetes Engine, and Cloud SQL, so that you can focus on gen AI application development from the get-go.

Migrations can feel daunting, especially for small teams. This session offers practical tips, tools, and strategies to plan and execute migrations efficiently, minimizing downtime and maximizing your existing resources. You’ll view a live demo of Google’s migration tools and learn from TRIARQ Health about how they successfully navigated their own migration to Google Cloud.

Struggling with multicloud networking complexity? Equinix and Uber reveal the critical network architecture strategies to overcome today’s challenges. Discover proven adoption tactics and essential multicloud networking capabilities for seamless, cost-effective multicloud success. Learn how Uber, leveraging Equinix’s interconnected global data centers and Network-as-a-Service platform, achieved rapid, flexible, and efficient data migration to Google Cloud. Don’t let network limitations hold back your multicloud potential.

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.

Dive deep into the world of multimodal analytics with BigQuery. This session explores how to unlock insights from all data types in BigQuery using embeddings generation and vector search. We’ll demonstrate how BigQuery object tables combine text, documents, and images to unlock popular use cases like recommendation engines and retrieval-augmentation generation (RAG). Learn how to leverage BigQuery as a knowledge base to ground your cutting-edge AI application with your own enterprise data.

There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.

Cloud environments can have hundreds or thousands of potential security issues. But which ones create the most risk? Security Command Center uses powerful virtual red team technology and a new security graph to continuously analyze your cloud resource configurations, software vulnerabilities, and identity and access policies – running at machine scale – to pinpoint the issues that could put your cloud workloads at risk.

This session shows how engineers can use Gemini Cloud Assist and Gemini Code Assist to speed up the software development life cycle (SDLC) and improve service quality. You’ll learn how to shorten release cycles; improve delivery quality with best practices and generated code, including tests and infrastructure as code (IaC); and gain end-to-end visibility into service setup, consumption, cost, and observability. In a live demo, we’ll showcase the integrated flow and highlight code generation with GitLab and Jira integration. And we’ll show how Gemini Cloud Assist provides deeper service-quality insights.

Maximize your Gen AI inference performance on GKE. This session dives into the latest Kubernetes and GKE advancements, revealing how to achieve significant cost savings, reduced latency, and increased throughput. Discover new inference features on GKE for optimizing load balancing, scaling, accelerator selection, and overall usability. Plus, hear directly from Snap Inc. about their journey re-architecting their inference platform for the demands of Gen AI.

Unlock AI's transformative potential with adaptive strategies for leveraging AI Agents and platform-thinking. From identifying high-impact use cases to rapid, trusted deployment, we'll cover value modeling, Trusted AI deployment, agent orchestration, and productionizing in an uncertain landscape. Explore real-world implementations, from enhancing customer experiences to streamlining workflows, and measure success quickly. Discover how steering, worker, conversational, transactional, and multimodal agents drive tangible business value.

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.

Gemini 2.0 Flash Thinking unlocks a critical new reasoning step in the model execution process that is needed to continue hill climbing on the most difficult problems. Join Jack Rae for a deep dive on our latest thinking models, how to use them to their full capability as a developer, interesting use cases to explore with reasoning, and where we are going next with reasoning.