Enterprise Adoption

Measuring AI Adoption among Firms: How You Ask Matters

Measuring AI Adoption among Firms: How You Ask Matters    Federal Reserve Bank of St. Louis

AI Agents in Action: A Playbook for Trusted Adoption, Authorization and Scaling 2026

AI Agents in Action: A Playbook for Trusted Adoption, Authorization and Scaling 2026    The World Economic Forum

Radiologists Urge Economic Realism in AI Adoption

Radiologists Urge Economic Realism in AI Adoption    Radiological Society of North America | RSNA

Snowflake boosts forecast, signs $6 billion AWS deal as enterprise AI adoption grows

Snowflake boosts forecast, signs $6 billion AWS deal as enterprise AI adoption grows    Reuters

Snowflake Expands AWS Collaboration with $6B Commitment to Accelerate Enterprise Agentic AI Adoption

Snowflake Expands AWS Collaboration with $6B Commitment to Accelerate Enterprise Agentic AI Adoption    Snowflake

Managers Are Struggling to Keep Up with the AI Productivity Boom

Managers Are Struggling to Keep Up with the AI Productivity Boom    Harvard Business Review

Augmented intelligence in medicine

Augmented intelligence in medicine    American Medical Association

AI adoption in business grows steadily but unevenly

AI adoption in business grows steadily but unevenly    Federal Reserve Bank of Minneapolis

Internal Memo Reveals Meta’s Plan to Kickstart Its Enterprise AI Business

Internal Memo Reveals Meta’s Plan to Kickstart Its Enterprise AI Business    The Information

Copilot usage metrics API adds cohorts for AI adoption

Copilot usage metrics API adds cohorts for AI adoption    The GitHub Blog

United States AI adoption shows steady growth, but distribution remains uneven

United States AI adoption shows steady growth, but distribution remains uneven    The Official Microsoft Blog

Large Firms With at Least 20 Employees Biggest AI Users

Large Firms With at Least 20 Employees Biggest AI Users    Census.gov

The 2026 Guide to Machine Learning | IBM

Leverage educational content like explainers, hands-on tutorials, videos, podcasts and much more crafted by IBM experts, covering all aspects of machine learning.

Cloud CISO Perspectives: How to build an AI-ready security program for the public sector

Welcome to the second Cloud CISO Perspectives for May 2026. Today, Usman Chaudhary, Field CISO, Google Public Sector, offers a guide for CISOs protecting government agencies and critical infrastructure on how to get started — and get the most out of — defendin

Developer's guide to Gemini Enterprise and A2UI integration

If you've built a chatbot, you know this conversation: User: "Book a table for two tomorrow at 7pm." Agent: "Okay, for what day?" User: "Tomorrow." Agent: "What time?" A date picker would have ended this in one tap. But until recently, agents had no standard w

Cool stuff Google Cloud customers built, May edition: Agentic algorithms for supply chains; virtual try-on APIs; robotic camera operators & more

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, who are building the future on our platform, there would be no Google Cloud. In this regular round-up , we dive into some of the exciting projects red

Build a custom portal with embedded Amazon SageMaker AI MLflow Apps

As ML teams grow, embedding Amazon SageMaker AI MLflow Apps into a custom portal requires a scalable approach to access management. Distributing presigned URLs doesn’t scale for teams with dozens of data scientists, and granting individual AWS Management Conso

Training Azerbaijani language models on Amazon SageMaker AI

This solution builds on open source tools including PyTorch, Hugging Face Transformers, and Liger Kernels. The authors would also like to thank Aiham Taleb, Arefeh Ghahvechi, Manav Choudhary, Rohit Thekkanal, Daz Akbarov, Jamila Jamilova, Ross Povelikin, Almas

Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality

Deploying large language models (LLMs) at scale on Amazon SageMaker AI Inference makes observability a critical pillar of any production machine learning (ML) strategy. Unlike conventional software that returns deterministic outputs, LLMs generate variable, fr

Protecting against token theft

HTTP requests are inexpensive. Vercel charges ~$2/million, a fraction of a cent per call. But a single prompt to an agent on a frontier model can cost $2, making AI a million times more expensive, and inference theft one of the highest-margin businesses an att

Function invocations now billed per unit

Function invocations are moving from package-based to per-unit pricing for Pro and new Enterprise customers. You’ll continue paying the same effective rate until the end of your current billing cycle. Starting with your next billing cycle you’ll be billed per

NVIDIA GTC Taipei at COMPUTEX: Live Updates on What’s Next in AI

At NVIDIA GTC Taipei at COMPUTEX, the world’s developers, researchers and industry leaders are converging to dive into the latest breakthroughs shaping every industry, covering topics spanning AI factories and scaling infrastructure to agentic and physical AI

NVIDIA Levels Up Local AI Agents Across RTX PCs and DGX Spark

Personal agents are exploding in popularity, with open source projects like OpenClaw and Hermes seeing rapid adoption by AI developer communities on GitHub. Built to adapt to individual preferences and workflows, these agents can interact with applications, ge

ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM