IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Unstructured data interpretation: Unstructured data can often contain untapped insights.

Artificial Intelligence 90

Artificial Intelligence Unstructured data Analytics Customer Experience 90

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Engage with our experts, partake in live demos, and explore tailor-made solutions for your business needs.

Analytics 83

Analytics Retail Cloud Insurance 83

Info Source

MARCH 29, 2019

OpenText Content Services help organizations readily access critical business information through the delivery of “content in context” for both structured and unstructured data. Conference attendees can access demos and further information at OpenText’s booth (31 and 32) at the AIIM Conference tradeshow.

Content services 40

Content services ECM Unstructured data Cloud 40

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Request your own demo of erwin DI. The post Do I Need a Data Catalog? appeared first on erwin, Inc.

Metadata 132

Metadata Unstructured data Compliance Sales 132

AIIM

FEBRUARY 27, 2020

It also features 23 hands-on labs, all of which are also provided as video demos in the course materials. ECM (Specialist and Master) This course focuses on management of unstructured data using content repositories. Cost: $895 for AIIM members, $995 for non-members. Cost: Master - $1600 for AIIM members, $1785 for non-members.

ECM 116

ECM Records Management Metadata Information governance 116

Collibra

SEPTEMBER 9, 2022

The predictive DQ can track issues to continuously deliver high-quality data pipelines, always ready for operations and analytics. . In addition to these above issues, organizations also struggle with unstructured data, invalid data, redundancy in data, and data transformation errors. Description.

Analytics 110

Analytics Customer Experience Marketing Unstructured data 110

Everteam

APRIL 16, 2019

Machine learning makes it possible to analyze unstructured data semantically to suggest classifications based on text found. It will help you meet regulatory requirements much quicker (and more accurately) than manual classification. But there are also situations where manual classification is necessary.

ROT 40

ROT Information governance Metadata Government 40