AWS and Microsoft are taking radically different branding approaches to AI deployment, raising questions about which strategy enterprise customers will embrace.
Google Cloud is separating itself from Microsoft and AWS by relying entirely on partners to deliver enterprise AI deployments and agentic transformation.
The next wave of enterprise AI will depend less on models and more on governed, connected data and operational context, according to Salesforce and Databricks.
Customers are reporting high confidence levels in AI agents managing data workflows, but the numbers drop when tasks apply to AI workflows such as coding functions.
The world’s leading AI companies are investing nearly $10 billion to ensure AI deployments generate measurable business outcomes rather than simply impressive technology.
Microsoft’s new Frontier Company represents the company’s biggest step yet toward making its frontier firm vision a reality for enterprise customers.
Palantir challenges traditional ERP and standardization, suggesting an alternate approach in the current economy and age of AI.
The companies that survive disruption are the ones focused on solving problems, not protecting products.
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.
The AI market is entering a new chapter where execution and business outcomes matter more than proving technological capabilities.
OpenAI’s new token management tool highlights a deeper challenge: CEOs, not AI administrators, must decide how scarce AI resources are allocated across the business.
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.
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.
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.