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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

Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently to customers. Content Marketing Platforms (CMP). Closely related to a CSP is a CMP used by an organization’s marketing team. Content Services (CS). This allows a faster, more efficient solution” (CDP 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

Another example is when sensitive information is removed from transaction data after meeting operational requirements, but the data is kept for analytical processing such as market research and trend analysis. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently.

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In Praise of the Invisible DB2 for z/OS System

Robert's Db2

I was with IBM when DB2 was introduced to the market. Noticing these characteristics, developers might start expressing a preference for the data associated with their new applications being stored on the platform with the industrial-strength qualities of service.