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

IBM Big Data Hub

DECEMBER 19, 2023

Supervised learning Supervised learning techniques use real-world input and output data to detect anomalies. These types of anomaly detection systems require a data analyst to label data points as either normal or abnormal to be used as training data.

Unstructured data 72

Unstructured data Artificial Intelligence Sales Manufacturing 72

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

IBM Big Data Hub

DECEMBER 1, 2023

Foundation models are pre-trained on unlabeled datasets and leverage self-supervised learning using neural network s. 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.

Insurance 107

Insurance Digital transformation Customer Experience Cloud 107

CILIP

JANUARY 24, 2022

We quite often retire blocks of knowledge which are no longer relevant to specific learning (though we do keep it all in a reference library). And the really exciting thing from my perspective is the placement of knowledge assets in the right context and space in this virtual environment, plus many VR training opportunities.

e-Delivery 52

e-Delivery Analytics Unstructured data Information architecture 52