CIO Kenny Mullican notes that vertical AI platforms from Google Cloud eliminate the need for building custom interfaces and make it easier to roll out industry-specific use cases.
Microsoft
Altman Plants is connecting enterprise data and systems through AI, MCP, and Microsoft Fabric to give employees faster access to insights and improve complex decision-making.
Altman Plants is using AI experimentation and a test-and-learn approach to solve complex data-matching challenges, reduce EDI errors, and reclaim hours of daily work.
Microsoft, Salesforce, and UiPath are taking different approaches to free developer AI capacity as consumption emerges as an increasingly important metric for the enterprise technology industry.
AI monetization is moving upstream as rising agentic development costs push Microsoft and other vendors to charge builders for creating, testing, and executing AI-powered products.
New features enhance positioning of Teams as a platform to support humans, agents working together to accelerate GitHub-powered dev projects.
Microsoft’s latest Copilot Studio release — including the GitHub Copilot Harness — is more of an upgrade to the engine room of enterprise agents than a simple feature update.
After proving its custom silicon strategy with Maia 200, Microsoft is preparing a much larger Maia 300 push designed to support both AI training and inference.
Skill Recorder creates a foundation for AI to understand workflows, recommend improvements, and ultimately automate workflows, for on-demand or scheduled use cases.
Identity management, data loss prevention tools work together to ensure every AI agent action can be traced to the entity that triggered it for accountability.
Microsoft Research and Paige’s PRISM 2 combines nearly 2.5 million pathology images with clinical language, creating a versatile AI model for cancer detection, biomarker prediction, and research.
Microsoft CEO Satya Nadella has confirmed plans for a Copilot super app that will unite chat, coding, Cowork and autonomous AI agents, creating a single flagship experience spanning both Microsoft’s consumer and commercial AI offerings.
AI vendors are increasingly turning to forward deployment engineers as enterprises struggle to move AI pilots into production and consumption-based models grow.
Project Perception represents Microsoft’s push beyond reactive cybersecurity, coordinating red, blue, and green AI agents in a closed-loop system designed to continuously identify vulnerabilities, assess risks, implement fixes, and strengthen enterprise defenses.
Learn how Mater Hospital is building on years of automation to use AI and intelligent workflows that improve every stage of the patient journey, from scheduling through discharge.
AI agents are beginning to outpace Copilot licenses, signaling that organizations are creating increasingly valuable custom automation across the Microsoft ecosystem.
Microsoft and more than 20 tech companies urge U.S. lawmakers to protect open-weight AI models, arguing openness drives innovation and competition.
Developers now have three harnesses to choose from, selecting the best option and model for the required tasks while also factoring in cost considerations.
Nadella believes enterprises should have the freedom to choose AI providers, privately train models, manage costs, and retain complete control over their accumulated organizational intelligence.
Businesses can unlock greater AI value by understanding when to use chat assistants, coding agents, co-work agents, or custom workflows.