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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

IBM’s Enterprise Cloud for Regulated Industries Building on our expertise working with enterprise clients in industries such as financial services, government, healthcare and telco, we saw the need for a cloud platform designed with the unique needs of these heavily regulated industries in mind.

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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. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.