Ryan welcomes Tom Moor, head of engineering at Linear, to discuss AI agents’ mixed results for productivity in the development lifecycle, the importance of context for maximizing agents’ effectiveness, and the role that junior developers need to take in a world increasingly driven by AI.
Craft and quality beat speed and scale, with or without agents Read More »
Modern consumers demand a seamless, personalized shopping journey, from initial product discovery all the way to final purchase. With the rise of agentic AI, merchants now have an opportunity to deliver a truly assistive and cohesive experience across every touchpoint. That’s why today, building on our goal of transforming commerce, PayPal and Google Cloud are
Introducing an agentic commerce solution for merchants from PayPal and Google Cloud Read More »
Today, we’re pleased to introduce a new Bigtable storage tier for efficient management of massive datasets, now available in preview. This fully managed, cost-effective system automatically moves less frequently accessed data from high-performance SSDs to infrequent access storage, lowering your total cost of ownership. With tiered storage in Bigtable, you can access and modify data
Introducing Bigtable tiered storage: Save more data, longer, for less Read More »
Building and scaling generative AI models demands enormous resources, but this process can get tedious. Developers wrestle with managing job queues, provisioning clusters, and resolving dependencies just to ensure consistent results. This infrastructure overhead, along with the difficulty of discovering the optimal training recipe and navigating the endless maze of hyperparameter and model architecture choices,
Announcing new capabilities in Vertex AI Training for large-scale training Read More »
AI agents can chat, use tools, and write new code all from one interface. That’s why they’ll last.
AI agents will succeed because one tool is better than ten Read More »
The conversation around generative AI in the enterprise is getting creative. Since launching our popular Nano Banana model, consumers have created 13 billion images and 230 million videos1. Enterprises can combine Gemini 2.5 Pro with our generative media models – Lyria, Chirp, Imagen, and Veo – to bring their ideas to life. To us, generative
5 ad agencies used Gemini 2.5 Pro and gen media models to create an “impossible ad” Read More »
Effective monitoring and treatment of complex diseases like cancer and Alzheimer’s disease depends on understanding the underlying biological processes, for which proteins are essential. Mass spectrometry-based proteomics is a powerful method for studying these proteins in a fast and global manner. Yet the widespread adoption of this technique remains constrained by technical complexity as mastering
How the Max Planck Institute is sharing expert skills through multimodal agents Read More »
Ryan is joined by Spiros Xanthos, CEO and founder of Resolve AI, to talk about the future of AI agents in incident management and troubleshooting, the challenges of maintaining complex software systems with traditional runbooks, and the changing role of developers in an AI-driven world.
Your runbooks are obsolete in the age of agents Read More »
For modern enterprises, network connectivity is the lifeblood of the AI era. But today’s technology landscape has challenges that are pushing traditional networking models to their limits: Aggressive cloud migrations and investments in colocation spaces: Organizations are grappling with complex, high-capital expenditure requirements to interconnect global environments from multiple vendors. Shifting network capacity demands: The
Reimagine global network connectivity with Cross-Site Interconnect, now GA Read More »
Every development team wants to build robust, secure, and scalable cloud applications, and that often means navigating complexity — especially when it comes to configuration management. Relying on hard-coded configurations and keys is a common practice that can expose sensitive security details. To move faster and stay secure, developers should use a centralized, secure service
A practical guide to Google Cloud’s Parameter Manager Read More »
