IBM Big Data Hub

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.

Unstructured data 70

Unstructured data Artificial Intelligence Sales Manufacturing 70

ARMA International

SEPTEMBER 13, 2021

This includes defining the product scope of the DT journey and the digital products and services that will deliver transformative change for a new future. Part 3 will discuss how to manage the various DT risks. One essential step is developing the DT business case and connecting it with the critical success factors (CSFs) and the product scope.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 78

Data science Manufacturing Artificial Intelligence Retail 78

Collibra

NOVEMBER 18, 2021

King Ptolemy I Soter set about creating the largest collection of data (then) known to man, an institution known as the Library of Alexandria. . Libraries had been around for centuries, but this one would be different—filled with written records in numerous languages about the world’s knowledge. How United by Data connects us.

IT 52

IT Data collection Analytics Military 52