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

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

Throughout 2025, enterprise software providers have launched and spoken of agentic AI, claiming it will revolutionise the operating model of organisations. With agents available in key enterprise ...

In the age of cloud, AI and real-time data, finance needs a design language that connects systems, people and purpose.

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

As evolving cloud solutions, AI models and more continue to drive the expansion of enterprise data networks, a unified vision ...

This work constitutes a major scholarly contribution to information systems design and offers a pragmatic blueprint for ...

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

Shravan Padur's Blueprint for AI-Driven Platform Engineering and Automation-First M&A Integration - In a year marked by unprecedented consolidation across global industries, the true measure of ...

Anthropic releases its Agent Skills framework as an open standard, with Microsoft, OpenAI, Atlassian, and Figma already ...

Cybersecurity principles are simple, says Databricks' Field CISO. The hard part is doing them at scale across thousands of users and hundreds of applications. The company thinks its data platform – ...

Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data sharing is both essential and a potential security threat. Data security is ...