Indian IT firms are often first in line to implement enterprise AI, but a closer look at delivery reveals constraints rooted ...
RBI's Swaminathan urges banks to strengthen compliance, operational resilience, data governance, and third-party risk ...
Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...
AI is not a standalone technology topic. It affects how a company creates value and how risk accumulates. Boards can no ...
Explores turning the browser into a policy enforcement point within a Zero Trust framework, covering governance, MFA, device ...
According to Dan Herbatschek New York CEO of Ramsey Theory Capital, artificial intelligence regulation is entering a decisive new phase in 2026, and enterprise leaders who still view compliance as a ...
Strong data engineering practices—supported by governance frameworks, quality controls, and ethical safeguards—are what ...
Airline safety comparisons often focus on outcomes, while regulators and operators assess safety performance through layered oversight, system maturity, and sustained risk management . Measuring ...
A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective ...
To address the problem, Lontoh highlights four governance pillars: transparency, vendor risk, governance maturity, and talent ...
This regard for better quality data has arguably always been there, but enterprises and vendors have focused more on large ...
Nguyen Thanh Hoa, Deputy Director of the HCMC Digital Transformation Center, has spoken about the importance of a roadmap for ...
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