Gartner predicts that by 2028, 50% of organizations will have had to adopt a zero-trust posture for data governance as a ...
Open banking, embedded finance, and AI are changing where bank data flows. Data privacy now determines how far innovation can ...
The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...
AI "model collapse," where LLMs over time train on more and more AI-generated data and become degraded, can introduce a host ...
ChemFORWARD today announced the introduction of the Chemical Hazard Data Trust. For the first time, we’re creating a ...
AMD CIO Hasmukh Ranjan explains how data strategy, digital twins, and autonomous systems are reshaping enterprise AI at scale ...
A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...
WorkTango reports on responsible AI use in HR, emphasizing compliance, bias audits, and ongoing monitoring to build trust and ...
India's AI framework proposes a layered, lifecycle approach. But how will it work in practice, and what challenges does it ...
Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...
Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited ...
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...
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