IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Data science 55

Data science Big data Analytics Mining 55

ARMA International

SEPTEMBER 13, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. AI using machine learning (ML) involves processing samples of data to learn. Then using what was learnt learning to run data analytics on vast amounts of content from many sources. Data Analytics.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

ARMA International

SEPTEMBER 22, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. 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.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52