If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations ...

Enterprise IT Infrastructure and Operations (I&O) teams are entering 2026 facing a fundamental shift in expectations. The ...

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for enterprise AI infrastructure.

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

HPE’s Nilotpal Kumar Dutta explains how hybrid cloud, GreenLake, AIOps, and strategic acquisitions are enabling scalable, ...

The future of cybersecurity means defending everywhere. Securing IoT, cloud, and remote work requires a unified edge-to-cloud ...

In an era where financial institutions face mounting pressure to deliver sophisticated analytics platforms while managing massive datasets, the remarkable success of the Enterprise Data Intelligence ...

Five AI predictions for 2026 show how agentic AI, governance, cloud growth, digital sovereignty, and robotics will reshape ...

When teams can’t trust their data, they can’t use it as the foundation for an AI strategy, even when there’s pressure from the top. AI may be the flashy thing everyone wants to talk about, but the ...