May 2023

AI and the Sports World

By |May 31st, 2023

Every day, the news highlights how emerging technologies like artificial intelligence (AI) and machine learning are changing businesses operations, improving education, and impacting personal […]

The Power of Data Integrity

By |May 31st, 2023

Data integrity is a broad discipline that influences how data is collected, stored, accessed, and used. The idea of integrity is a central element […]

Data Governance Opportunity

By |May 30th, 2023

To be as helpful as possible to those in the fields of taxonomy, indexing, semantic technology, data management, etc., we are sharing career opportunities that we find […]

Leaning Into AI

By |May 30th, 2023

Old fear and conspiracies have been resurrected with the focus on artificial intelligence (AI). It is such a broad term that those ignorant of […]

Science and Publishing

By |May 30th, 2023

Evaluating scientific quality is a notoriously difficult problem which has no standard solution. Ideally, published scientific results should be scrutinized by true experts in […]

Digital and Taxonomies

By |May 29th, 2023

Digital media of all kinds have become an increasingly significant part of our everyday experience. Every day, we consume and interact with photos, audio […]

Book Banning and Academic Publishing

By |May 29th, 2023

We don’t and still aren’t delving into the world of politics. When it comes to censoring and trying to regulate content and publishing, however, […]

Digging Deeper Into Taxonomies

By |May 29th, 2023

Understanding taxonomies and how they are used can be challenging, depending on the context and audience. The Accidental Taxonomist brought this interesting topic to […]

Trusting the Data

By |May 26th, 2023

Data is swiftly overtaking physical assets in terms of value to organizations. Keeping data safe, private, consistent, and of high quality is as important […]

Roadblocks to Data Analytics

By |May 26th, 2023

Data democratization is the ongoing process of enabling everybody in an organization, irrespective of their technical know-how, to work with data comfortably, to feel […]