Everteam

MARCH 12, 2019

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

Unstructured data 84

Unstructured data Metadata Information governance Government 84

AIIM

AUGUST 10, 2021

Make the most of metadata by utilizing systems that help automate how metadata is applied while retaining unstructured data in place. Put more intelligence into governance either by auto-tagging and categorizing content to kick off a retention workflow or by proactively managing the archival of business content and disposal of ROT.

Information governance 204

Information governance Government ROT Unstructured data 204

AIIM

JULY 23, 2020

Data Quality Issues. Any migration involving unstructured data, that is, individual files, is bound to run into issues migrating certain file formats. AIIM's training groups these into the following areas: File Format Issues. System Dependencies. Process Issues. Now let's look at each of these in a bit more detail.

Metadata 269

Metadata Records Management Data structuring ROT 269

OpenText Information Management

FEBRUARY 11, 2025

In addition to helping RTVE create engaging TV and radio content, lets explore three ways AI-powered search, knowledge discovery, and analytics can transform how employees work by empowering them to find insights deep within structured and unstructured data.

Analytics 64

Analytics ROT Unstructured data Archiving 64

Everteam

JANUARY 22, 2019

The intersection of Structured and Unstructured Data. Today there is a clear separation on how you manage structured data (database, transactional data) and unstructured data (documents, text, videos, images, email, social media, etc.). Data on legal hold = <1%. Record-worthy data = <2%.

Information governance 58

Information governance Government Unstructured data Analytics 58

Gimmal

OCTOBER 2, 2024

Conduct a Data Audit The first step in preparing data for AI is to understand what data you have and where it resides. At Gimmal, we recommend leveraging automated data classification tools, such as our Sensitive Data Assessment (SDA) service, which scans and categorizes your data based on pre-defined criteria.

ROT 52

ROT Unstructured data Government Compliance 52

ARMA International

SEPTEMBER 22, 2021

Auto-classification can leverage AI using RPA and ML / MT to analyze the digital content and categorize it, including redundant, obsolete, and temporary (ROT) [4] content. Much of the content will never be accessed, yet the cost to manage ROT content will continue to increase. Figure 1: Auto-classification and AI.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52