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

Despite the headlines, most enterprise AI use cases remain in experimental or pilot phases. An LLM-based chatbot or an ...

To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" ...

Enterprises rely on browser-based GenAI, increasing data-exposure risks and demanding strict policies, isolation, and ...

The Snowflake-Anthropic $200M deal brings Claude agents to governed data. Baris Gultekin on trust, real-world impact, and why ...

Intentional governance, process redesign, change management and data strategy all must be addressed to achieve optimal ...

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

With only 11% of organizations reporting comprehensively organized and accessible data for AI applications, data readiness ...

Discover the best AI tools to help you learn any skill quicker in 2026, from personalized learning paths to real conversation ...

By Desmond ISRAEL Esq.Trust is the currency of the digital age — but like any currency, it can be manipulated, inflated, or devalued. In the growing tension between data collection and civil liberties ...

The report also found that while 76% of companies with an AI strategy say AI is overseen at the management level, only 41% ...

Whatever else they may be, environmental, social, and governance (ESG) initiatives are very often an image-building exercise.