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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’s also necessary to understand data cleaning and processing techniques.

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

ARMA International

For example, re-packing corporate records can help weave a narrative to promote a brand, enhance corporate social responsibility outreach programs, improve employee loyalty, enhance diversity, equality and inclusion training, and highlight environment, social and governance initiatives. Data Analytics. Retrieved April 2021.

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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. Information Governance (IG). Discussions of IG often lead to a discussion of data governance (DG) and whether the two are different.

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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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