CILIP

JUNE 26, 2019

Success of AI in academic libraries depends on good underlying data. nder, scientific information specialist: Success of AI in academic libraries depends on good underlying data. Why do we hear so little in this respect from libraries on this side of the Atlantic? Q&A with Stephan Holl?nder,

Libraries 40

Libraries Unstructured data Artificial Intelligence Archiving 40

OpenText Information Management

MAY 30, 2024

In its evaluation, the report highlighted the performance of OpenText IDOL in AI-driven document management, complex data mining across all data types, and unstructured data analytics. Key features include: Entity Extraction and NLP: Extract critical information with advanced grammar libraries.

Mining 69

Mining Analytics Unstructured data Compliance 69

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

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. Another classic example is the online or card catalog at a library. Sales are measured down to a zip code territory level across product categories.

Metadata 132

Metadata Unstructured data Compliance Government 132

Brandeis Records Manager

JULY 28, 2016

Your industry may dictate your relationship with your library people, if you even have a relationship with them. In academia, records management tends (not exclusively) to be grouped organizationally with library and archival units. In one sense, we are the Charlie Brown of an academic library department.

Records Management 52

Records Management Libraries Unstructured data Honeypots 52

IBM Big Data Hub

DECEMBER 1, 2023

IBM’s watsonx.ai™ foundation model library contains both IBM-built foundation models, as well as several open-source large language models (LLMs) from Hugging Face. Foundation models are becoming an essential ingredient of new AI-based workflows, and IBM Watson® products have been using foundation models since 2020.

Insurance 96

Insurance Digital transformation Customer Experience Cloud 96

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Analytics 72

Analytics Cloud Unstructured data Libraries 72