Remove Data structuring Remove Government Remove IT Remove Mining
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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. It requires data science tools to first clean, prepare and analyze unstructured big data.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

This includes defining the product scope of the DT journey and the digital products and services that will deliver transformative change for a new future. Part 3 will discuss how to manage the various DT risks. One essential step is developing the DT business case and connecting it with the critical success factors (CSFs) and the product scope.

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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. This includes defining the product scope of the DT journey and the digital products and services that will deliver transformative change for a new future.

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A Big Issue: Taking Control of Your Own Identity and Data – Sing.ly Founder Responds

John Battelle's Searchblog

If there was a theme to Day One at Web 2 Summit , it was this: We have to start taking control of our own identity and data. But also because of the value and benefits that will accrue to us and to society in a culture that values individual control of data. Where is our data home? (a What will be our data address?

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