Microsoft claims its MAI-Base-2 AI model outperforms the base model behind OpenAI’s GPT-5.6 on selected tests while using 75% less training compute, signaling growing competition between the technology giants as Microsoft pursues greater AI independence.
Because AI models don’t know a company’s processes by default, acquiring knowledge of those inner workings is critical to driving performance.
Microsoft’s new Copilot enables legal professionals to perform in-depth work in Word and Cowork, while providing a wide range of pre-built industry functions as reusable skills.
Microsoft launches a real-time speech transcription model delivering partial results in just over 100 milliseconds, setting the stage for faster, more accurate, and more intelligent AI voice agents.
Microsoft leaders, customers, and a major partner outlined high-impact AI use cases in which the Work IQ intelligence layer and…
Microsoft’s Digital Defense Report 2026 explains how automation accelerates threats and why organizations must embrace continuous security monitoring, proactive threat detection, and faster incident response.
Three big questions to answer before putting Autopilot in production: Whose name is on it? What’s it allowed to do without asking? And what does it cost when it runs every day?
Procurement leaders expect AI to drive innovation and accelerate core processes, but first they need to reinvent their operations and get their people on board.
Google’s reported shutdown of its open-source bug bounty program reveals how AI-generated security reports are overwhelming cybersecurity teams and creating new challenges for vulnerability detection.
AI leaders are embracing self-regulation as Washington weighs stronger oversight, raising questions about enforcement, consumer risk, and how the U.S. can regulate AI without slowing innovation.
Microsoft has distilled lessons from hundreds of internal AI transformation projects into five principles focused on business outcomes, end-to-end workflow redesign, employee involvement, expanded human capabilities, and continuous learning between people and AI.
Microsoft and ServiceNow illustrate a larger AI shift toward open protocols, governance, and control as enterprises seek to deploy agents across increasingly ambitious initiatives.
Tech, business, and finance pros will each have their own major areas of economic focus as they migrate AI apps from pilot to production to scale.
Michael Simms discusses the importance of data readiness in the successful adoption and use of AI.
Microsoft AI stack is a stark contrast to gaps exposed by OpenAI security incidents. It provides governed agent identities, evaluation and safety red teaming, and limits on agent blast radius.
Shawn Dorward of sa.global explores how leaders can encourage AI adoption by creating space for experimentation, sharing successes openly, and giving employees time to learn.
Enterprises are getting better at identifying valuable AI projects, putting pressure on pilots, products, and vendors that cannot demonstrate meaningful returns on investment.
Copilot can now operate as a digital teammate that builds, remembers, and follows through. Paired with governance, it can turn that power into outcomes at scale.
Organizations pursuing AI-driven layoffs could eventually face expensive rehiring needs while competitors that reinvest in employees use AI to accelerate productivity and growth.
Jacquelyn Polanco of Texas Disposal Systems shares how AI agents are reducing manual workloads, giving employees more time for higher-value work, and improving work-life balance.
