IBM Big Data Hub

JULY 6, 2023

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.

Data science 56

Data science Big data Analytics Mining 56

ARMA International

SEPTEMBER 13, 2021

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.” CDPs apply specialized technologies and pre-built processes that are tailored precisely to meet marketing data needs.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

ARMA International

SEPTEMBER 22, 2021

For example, once a health record has met the regulatory requirements, the record can be anonymized and kept for years for such purposes as medical research and predictive analytics. See Table 1 listing some common examples of the “art of the possible. See Table 2 for a few examples.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

John Battelle's Searchblog

OCTOBER 18, 2011

More important than data reclamation and organization would be: how it gets stored; where it gets stored; who do you trust to hold onto it; ensuring the format “operable” (can developers do things with that data?) What will be our data address? Shouldn’t that address be mine? no matter where it lives; etc.

Mining 111

Mining Data structuring IT Communications 111