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 94

Artificial Intelligence Unstructured data Analytics Customer Experience 94

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. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Analytics 87

Analytics Retail Cloud Insurance 87

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset. Request your own demo of erwin DI.

Metadata 132

Metadata Unstructured data Compliance Sales 132

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

AIIM

FEBRUARY 27, 2020

You may not know that we developed a 4-day Email Management class in 2008 or a 2-day Social Media Governance course in 2011. It also features 23 hands-on labs, all of which are also provided as video demos in the course materials. How Often are AIIM's Training Courses Updated? Cost: $895 for AIIM members, $995 for non-members.

ECM 116

ECM Records Management Metadata Information governance 116

Collibra

SEPTEMBER 9, 2022

The impact of data quality is directly seen in lower revenue and higher operational costs, both resulting in financial loss. Data quality significantly influences the organizational efforts in governance and compliance, leading to additional rework and delay. The most common data quality problem statements. Description.

Analytics 94

Analytics Customer Experience Marketing Unstructured data 94

Everteam

APRIL 16, 2019

One of the most important elements of an information governance program is the proper classification of your data. A central, formal classification scheme is critical, especially when much of the information – structured and unstructured – is used in multiple departments or teams across the organization.

ROT 40

ROT Information governance Metadata Government 40