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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

This means imaging the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”

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

ARMA International

This means imagining the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Cloud Enablement. This is a “mind-shift” to leverage cloud-first capabilities, tools, and to deploy services that are outside the firewall. Integrated Collaboration. Archival Services.

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In Praise of the Invisible DB2 for z/OS System

Robert's Db2

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. A friend of mine who is a long-time DB2 for z/OS DBA has a good nickname for the system he supports: the "super-server."