Google Cloud, OpenAI, and Anthropic are investing heavily in deployment capabilities, ecosystems, and forward-deployed engineers to help customers achieve measurable business outcomes and accelerate enterprise AI adoption beyond model selection.
Microsoft modernized employee device procurement with a centralized platform before adding agentic AI, cutting costs by $20M and simplifying the user experience.
Sachin Gandhi outlines how enterprises are scaling AI through a growing ecosystem of first-party, partner, and custom agents across core business functions.
The race to transform enterprises through AI is creating unprecedented demands for deployment expertise, customer success, and organizational change management.
IBM and Google Cloud have launched a new Google Cloud Practice designed to help organizations accelerate AI deployments by combining IBM Consulting expertise with Google Cloud’s Gemini Enterprise Agent Platform, cybersecurity capabilities, and advanced data technologies.
A cautionary look at AI adoption, highlighting how poorly chosen use cases and immature implementations can create more operational disruption than business value.
KPMG and Microsoft are expanding their partnership to help enterprises deploy agentic AI at scale through standardized governance, deployment, and management frameworks.
As AI spending surges, AWS argues that companies cannot ignore technical debt, which continues consuming substantial IT resources that could otherwise fuel innovation.
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.
Google Cloud and Palantir are expanding their partnership to help businesses combine AI, data, and analytics for faster decision-making and stronger industry-specific outcomes.
The Hyperscaler Backlog Sweepstakes defines the top AI factories, ranking Google Cloud, Oracle, Microsoft, and AWS in the top four.
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.
The Hyperscaler Backlog Sweepstakes — including Oracle, Microsoft, Google Cloud, and Oracle — have led to a backlog total of $2.1 trillion.
Pinterest has signed a $4 billion infrastructure agreement with AWS through 2031, marking the largest technology commitment in its history. The partnership will support AI innovation, improve discovery experiences, and provide scalable infrastructure for hundreds of millions of users.
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.
Nick Leamon and Chad Dickerhoff explain how AI sales order agents automate manual workflows, translating customer requests directly into ERP-ready business operations.
Google Cloud’s agreement with EQT could accelerate AI adoption faster than conventional sales strategies by reaching hundreds of companies through a single partnership.
OpenAI has launched a global partner network backed by a $150 million fund, signaling a major commitment to enterprise AI adoption through ecosystem-driven customer transformation, workflow redesign, systems integration, and change management.