With one of the largest capital budgets in the AI industry, Microsoft is not immune to the risk of overbuilding data center capacity. Read why MSFT is a Sell.

Gartner’s 2025 Magic Quadrant for AI Application Development Platforms again places IBM in the Leaders quadrant alongside Amazon Web Services, Google and Microsoft.

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...

Microsoft Chairman and CEO Satya Nadella on Tuesday announced an investment of USD 17.5 billion in India to bolster nation’s rapidly growing AI infrastructure ...

Big billions continue to flow into the Indian tech sector. Weeks after Google announced a $15 billion inflow for an AI hub and data centre, now Microsoft has announced a mega $17.5 billion ...

The investment will be made to help build the infrastructure, skills, and sovereign capabilities needed for India's AI-first future.

Huawei Cloud entered a new phase of its intelligent-computing strategy in late November 2025 with a sweeping leadership and organizational overhaul. Save my User ID and Password Some subscribers ...

Forbes contributors publish independent expert analyses and insights. Sanjit Singh Dang is a California-based contributor who covers AI. I recently wrote about the widespread AWS outage. Little did I ...

Advsr AI Spotlight Highlighting notable AI moves at the intersection of strategic operating companies and emerging startups.

Microsoft Azure Fends Off ‘Largest DDoS Attack Ever Observed in the Cloud’ Your email has been sent Microsoft confirmed that Azure blocked a denial-of-service attack that involved more than 500,000 IP ...

Revenue cycle services company Conifer Health Solutions, a subsidiary of Tenet Healthcare, is collaborating with Google Cloud to add AI at scale to its revenue cycle management platform. Conifer ...

Abstract: Scaling Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, infrastructure reliability, and regulatory ...