Remove Examples Remove Government Remove Mining Remove Unstructured data
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. One challenge in applying data science is to identify pertinent business issues.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. See Table 1 listing some common examples of the “art of the possible. See Table 2 for a few examples.

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What Is Our Professional Future?

Brandeis Records Manager

When we consider that fixed, controlled records following recordkeeping principles and information governance are typical objectives in our programs, it’s not unreasonable to get a little scared by this. A recent Iron Mountain US government employee survey cited the skills gaps that need to be closed by tomorrow’s info pro.