Archive-It

AUGUST 10, 2023

Karl Blumenthal demonstrates Voyant for text mining analysis on ARCH datasets. He concluded with a mini-tutorial using Voyant for text mining that attendees could follow along with on their laptops. Rounding out the day, Skip Kendall from Harvard University Archives walked us through how metadata is applied at his institution.

Archiving 26

Archiving IT Metadata Libraries 26

ARMA International

SEPTEMBER 13, 2021

More recent technology trends include Blockchain as a Service (BaaS) and Artificial Intelligence as a Service (AIaaS). Artificial Intelligence (AI) and Auto-Classification. When tagging and auto-classifying content, the AI engine can extract metadata to provide context to unstructured content. Data Analytics.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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. Artificial Intelligence.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications.  They are now moving in the direction of governance and metadata along the lines of a lakehouse, with watsonx.data and Netezza on AWS integration.

Analytics 87

Analytics Cloud Metadata Government 87

IBM Big Data Hub

JULY 17, 2023

These models have been trained on IBM curated datasets that have been mined to remove hateful, abusing and profane text (HAP). Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access.

Analytics 70

Analytics Data science Cloud Metadata 70

erwin

NOVEMBER 6, 2020

Industry analysts and other people who write about data governance and automation define it narrowly, with an emphasis on artificial intelligence (AI) and machine learning (ML). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Government 97

Government Metadata Energy and Utilities Artificial Intelligence 97

Brandeis Records Manager

SEPTEMBER 19, 2016

As Alec Ross suggests in The Future of Industry, enhanced artificial intelligence (AI), in combination with blockchain technology, threatens to remove intermediary and gatekeeper roles in several industries, even out-Ubering Uber through pure peer-to-peer ride agreements and mesh networks. The Rise of the Machines (and Software).

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62