ARMA International

SEPTEMBER 22, 2021

Now the Fourth Industrial Revolution [2] is “digitizing the farm”— that is, radically reimagining agriculture through big data analytics that help farmers increase crop yields and using artificial intelligence (AI) to monitor pests, plant diseases, soil nutrients, and other growing conditions. Figure 1: Auto-classification and AI.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

MAY 17, 2023

The services are activated through access management for data collection, analysis and event monitoring in existing drones which are managed by clients and businesses. The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique.

Energy and Utilities 80

Energy and Utilities Data collection Analytics Mining 80

CGI

OCTOBER 31, 2018

In addition to driving costs savings, capital deferrals and improved outage management, utilities want to be equipped to handle volatile generation, changing demand patterns and the emergence of flexibility services driven by increasing volumes of distributed energy resources (DERs), as well as edge analytics driven by IoT.

Energy and Utilities 40

Energy and Utilities Analytics Digital transformation Customer Experience 40

Brandeis Records Manager

SEPTEMBER 19, 2016

We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructured data collections. Big data being managed today is but one dimension of a much more complex future environment.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62