IBM Big Data Hub

JULY 12, 2023

Generative AI is changing the game Generative AI can be applied to an array of use cases, such as sorting and classifying written input, transforming domain-specific text into personalized summaries, identifying and extracting essential information from unstructured data, and generating code, marketing content and more.

Unstructured data 53

Unstructured data Government Compliance Marketing 53

Collibra

JUNE 25, 2021

Duplicate data increases the probability of skewed analytical results. As training data, it can also produce skewed ML models. Rule-based data quality management can help you keep a check on duplicate and overlapping records. Ambiguous data. Hidden data. Too much data.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

Collibra

MAY 19, 2021

With the increasing volume and variety of data arriving at increasing velocity, data quality is proving to be the biggest challenge for trusted analytics and AI. ML has a big appetite for data. A model trained on a small data set may not correctly represent the pattern. Bad Data + Good Models = Bad Results.

Analytics 59

Analytics Metadata Unstructured data Access 59

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

IBM Big Data Hub

SEPTEMBER 7, 2023

The Granite family of models is no different, and so we trained them on a variety of datasets — totaling 7 TB before pre-processing, 2.4 We have developed governance procedures for incorporating data into the IBM Data Pile which are consistent with IBM AI Ethics principles.

Artificial Intelligence 101

Artificial Intelligence Unstructured data Risk Compliance 101

Collibra

JULY 27, 2022

As Dave Mosley — CEO of Seagate Technology — states, “the value that a company derives from data directly affects its success.” ” To be consistently successful, you have to tap into every stream of data, and ensure the data used for analytics is reliable and trustworthy. What’s Data Intelligence?

Metadata 52

Metadata Artificial Intelligence Analytics Unstructured data 52

IBM Big Data Hub

JUNE 21, 2023

The solution uses gesture recognition (such as fist pumps and players’ reactions), crowd noise and game analytics (such as break points) to identify highlight-worthy videos in both golf and tennis. For AI Commentary, the team drew source material from nearly 130 million documents.

Unstructured data 69

Unstructured data Digital transformation Analytics Government 69

Reltio

JANUARY 28, 2021

To illustrate, some companies were able to pivot faster to curbside pick up and virtual experiences that were traditionally run live in person, such as auctions, without creating a disconnected customer experience because they had a single source of truth for their enterprise data. 2 Make data governance an integral part.

MDM 98

MDM Customer Experience Marketing Government 98

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Analytics 59

Analytics Digital transformation Artificial Intelligence Access 59

Brandeis Records Manager

SEPTEMBER 19, 2016

When we consider that fixed, controlled records following recordkeeping principles and information governance are typical objectives in our programs, it’s not unreasonable to get a little scared by this. A recent Iron Mountain US government employee survey cited the skills gaps that need to be closed by tomorrow’s info pro.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62