Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...
Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...
As GenAI usage increases in the corporate world, many executives will likely have to answer this question from their boards: “What’s the ROI on GenAI?” ...
Gartner predicts that by 2028, 50% of organizations will have had to adopt a zero-trust posture for data governance as a ...
Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...
The COVID crisis has shown that ethical and effective uses of data and increased sharing of data can save lives and can be critical for society as a whole (by contrast to the use of data made by ...
A blended approach combines centralized policy compliance with decentralized flexibility. In association withCapital One Data governance has historically been a serious bottleneck for analytics. While ...
Deepak Yadav is an Engineering Leader at Amazon, Data & ML expert, ex-Ask.com, formerly with Amdocs, and Data Influencer. Over the years, I’ve worked with organizations across industries—financial ...
Why is data literacy important to data governance? Your email has been sent Data literacy is a key component of data governance. Learn why it’s important to data ...
Data governance impacts both internal and external audiences. Viewing data as an enterprise – not individual – asset is the first step towards a strong program. The benefits of a solid data governance ...
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