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

CIOs addressed risk mitigation gaps and strengthened guardrails to fast-track AI projects without sacrificing on security.

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

Let’s take a different slant and focus on what one group— arguably the most important tech buyer group — actually says they’re going to do. I’ve collected 284 comments on tech priorities for 2026 from ...

B&T would love to know where Mutinex finds these geniuses while it's newshroom is happie if there journolists can spel.

Integrating ADR into TRAIGA’s investigative phase represents more than an administrative convenience; it signals a mature approach to AI governance.

PRA observation The PRA observed that monitoring cycles for AI and ML models are often too infrequent. Some firms monitor ...

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

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

Indonesia is planning to expand its investment in digital infrastructure as part of efforts to strengthen the country’s ...

AI tutors are essential for education's future, but successful implementation requires thoughtful design and addressing key ...

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