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Mastering healthcare data governance with data lineage

IBM Big Data Hub

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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The risks and limitations of AI in insurance

IBM Big Data Hub

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.

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Is Artificial Intelligence relevant to insurance?

IBM Big Data Hub

In this first of two posts, I investigate the anatomy of artificial intelligence and its impact on insurance. It represents AI that can sift through data and divide them into classes (of attributes) by learning the boundaries. It offers customers and the insurer’s system to interact in a human-like manner.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

IBM can help insurance companies insert generative AI into their business processes IBM is one of a few companies globally that can bring together the range of capabilities needed to completely transform the way insurance is marketed, sold, underwritten, serviced and paid for.

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Digital Preservation -- High Stakes for Finance and Insurance Companies

AIIM

In a recent AIIM survey, 85% of finance and insurance executives said that digital preservation was “important” or “very important” to their organizations – even higher than the 77% reported in other industries. Why is it particularly important in finance and insurance?

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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Data governance use cases – 3 ways to implement

Collibra

Establishing data as a strategic asset is not easy and it depends on a lot of collaboration across an organization. However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . Data lake management: Prevent a data swamp.