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

However, data scientists should monitor results gathered through unsupervised learning. Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. Isolation forest models can be found on the free machine learning library for Python, scikit-learn.

Unstructured data 68

Unstructured data Artificial Intelligence Sales Manufacturing 68

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

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 16, 2022

Imagine walking into the largest library you’ve ever seen. Fortunately, the library has a computer at the front desk you can use to search its entire inventory by title, author, genre, and more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Privacy Access Libraries 52

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 Sales 132

Information is Currency

FEBRUARY 1, 2019

The last seven chapters are the second part of the book which defines what makes for a successful data governance projects and the essentials for building a world class data governance program. The benefits of a robust data governance are the same as that of information governance.

Government 40

Government Records Management Information governance Unstructured data 40