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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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IBM Cloud delivers enterprise sovereign cloud capabilities

IBM Big Data Hub

We introduced IBM Cloud for Financial Services , which includes an ecosystem of partner banks including BNP Paribas and CaixaBank, to help clients as they work to mitigate risk, address regulations, navigate their compliance and accelerate cloud adoption. In just a few years, we have helped some of the world’s leading banks transform.

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Using Technology to Add Value in Insurance

Decision Management Solutions

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. On the risk management front, we have begun working with some insurers to automate underwriting and pricing.

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

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Intense competition at every level. And internet penetration is one of the main reasons behind all 3.