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.

Christopher Lochhead explores how AI shifts the future of work from knowledge accumulation to value creation, arguing that success in the AI era depends on using individual strengths to create impact at scale.

Nick Leamon and Chad Dickerhoff explain how AI sales order agents automate manual workflows, translating customer requests directly into ERP-ready business operations.

With autopilots, Scout and WorkIQ, Microsoft is building a memory layer for the entire agent technology stack.

Copilot Cowork’s usage-based model is a clear indicator of the AI pricing model growing up, as Microsoft and other enterprise providers put a meter on coworkers.

Christopher Lochhead explains why AI is commoditizing knowledge and execution, making creativity and differentiation the most valuable assets in business.

Open Knowledge Format, or OKF, aims to become the MCP of representing knowledge and context so it can be consumed easily by AI agents without a translation layer.

False claims, generic content, and AI-driven relationships are surefire sales and marketing missteps that will get your business thrown “off the pitch.”

James Oleinik explains how enterprises can scale AI by combining centralized governance with business-led innovation and operational flexibility.

James Oleinik explains how Microsoft Entra and Purview provide identity, observability, and centralized governance for managing enterprise AI agents at scale.

Latest release of agent-building platform bolsters orchestration in complex workflows, simplifies integration by tapping Model Context Protocol (MCP).

Microsoft’s first ‘autopilot’ ushers in an era where IT and business leaders must decide what an always-on agent can touch, act on, and bring to users’ attention.

Microsoft is expanding its AI strategy by embedding Copilot directly into Microsoft 365 Business Standard and Premium plans, simplifying licensing and accelerating AI adoption among small and medium-sized businesses beginning July 1.

Christopher Lochhead explains why AI is making knowledge and execution less valuable while elevating human judgment, taste, creativity, and category creation.

Agent Optimizer functions ensure Foundry Hosted Agents adhere to user-defined criteria for the best instructions, skills, models, and tool descriptions.

The ed-tech company Chegg is a cautionary tale of how traditional business strengths can be rapidly undercut as AI technology advances.

Sachin Gandhi explains how MCP gives AI agents the tools needed to move from conversation to real enterprise execution.

An exploration of why future agility, rather than future-proofing, is becoming the defining characteristic of successful digital businesses.

Christopher Lochhead explains how AI is making knowledge and execution increasingly free, shifting competitive advantage to agent-driven systems.

Puri discusses how AI-powered analysis of vast biological databases helps researchers identify patterns, design new therapeutic molecules, and significantly improve experimental success rates in modern pharmaceutical research.

NVIDIA-powered ‘Dev Box’ delivers horsepower to execute massive AI models from local systems on an ‘unmetered’ basis, while reference designs aim to make AI computing ubiquitous.