Customers are reporting high confidence levels in AI agents managing repeatable, measurable data tasks. The picture is less bright when it comes to cloud and AI workflows.
AI and Copilots
Microsoft’s new Frontier Company represents the company’s biggest step yet toward making its frontier firm vision a reality for enterprise customers.
Partners that can deliver governance, optimized workflows, and trust will help customers overcome growing concerns over control, AI profits, and regulatory factors.
The companies that survive disruption are the ones focused on solving problems, not protecting products.
Skills and connectors that tie widely used third-party apps into Cowork make it easier for users to automate complex, cross-app workflows.
Financial disclosures and spend controls for customers highlight a key point: AI winners apply cost models and strict governance; reactively managing costs is a losing proposition.
Big automaker delivers painful but useful lessons: AI can’t replace humans in roles that require complex human judgment. Plus, a fully baked plan is a baseline requirement for AI success.
Microsoft is shifting Copilot Cowork to usage-based pricing while exploring lower-cost AI models, signaling a strategy focused on performance, economics, and customer choice.
Dona Sarkar says AI has yet to find its defining mainstream use case, and the companies preparing now will be best positioned when that breakthrough moment arrives.
With backers including Anthropic, Google, Microsoft, and JPMorgan Chase, Akrites coordinates disclosure and remediation as discovery of open-source vulnerabilities in the AI era is outrunning defense.
Sachin Gandhi outlines how enterprises are scaling AI through a growing ecosystem of first-party, partner, and custom agents across core business functions.
A cautionary look at AI adoption, highlighting how poorly chosen use cases and immature implementations can create more operational disruption than business value.
Addition to the company’s governance control plan eliminates a wide range of manual steps required to transition an agent from local usage to enterprise availability.
KPMG and Microsoft are expanding their partnership to help enterprises deploy agentic AI at scale through standardized governance, deployment, and management frameworks.
Company previously relied on a patchwork of systems and processes, which it fixed through centralization. Now it’s tapping AI to create a simple guided experience that takes burden off employees and administrators.
Work IQ offers significant value out of the box, capturing 80% of an organization’s operations without additional setup and addressing one of Copilot’s biggest shortcomings.
Mustafa Suleyman believes AI progress is accelerating dramatically, with model-training compute expected to increase another thousand-fold over the next three years.
Yogesh Kasat explains why enterprise AI adoption succeeds when organizations begin with practical use cases, measurable ROI, and hands-on experimentation.
Microsoft is testing new AI-powered workplace devices under Project Solara, aiming to create agent-first experiences that move AI interactions beyond traditional PCs and applications.
Security blunders, failing to adhere to brand voice, and over-emphasizing outputs rather than results are three ways that sales and marketing teams can go awry with AI.