Remove Business Driver Remove Risk Remove Risk Management Remove Technology
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The Value of Data Governance and How to Quantify It

erwin

Pörschmann highlighted at the beginning of the series, data governance works best when it is strongly aligned with the drivers, motivations and goals of the business. The business drivers and motivation should be the starting point for any data governance initiative. Risk Management and Regulatory Compliance.

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Using Technology to Add Value in Insurance

Decision Management Solutions

Matt Josefowticz wrote a great piece recently – Technology May be the Answer for Insurers, but What Was the Question? Manage Risk Better (aka underwriting and adjusting). And that while some of these will require an investment in technology, that investment should be framed in terms of those business drivers.

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IBM Cloud delivers enterprise sovereign cloud capabilities

IBM Big Data Hub

As we see enterprises increasingly face geographic requirements around sovereignty, IBM Cloud® is committed to helping clients navigate beyond the complexity so they can drive true transformation with innovative hybrid cloud technologies. We believe this is particularly important with the rise of generative AI.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. AI for Business. The widespread adoption of AI technology is fueled by 3 major challenges that businesses have been facing since the last decade. Uncertain economic conditions.