Understanding Technology
Machine learning and data science are two separate concepts that are related to the field of artificial intelligence (AI), but both rely on data. This […]
Coordinating Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the […]
Enriched Data Improves Findability
Semantic enrichment is the process of adding a layer of topical metadata to content so that machines can make sense of it and, even more […]
Metadata and Digital in Publishing
If you were unable to attend the recent event from Highwire Press – Best Practices Webinar Series – The Growing Importance of Video in Scholarly […]
Governing Data-Driven Strategy
A data-driven company requires a clear data integration strategy and a solid data culture. Tech Republic brought this interesting information to our attention in […]
Access Innovations at ASIS&T
The American Society for Information Science and Technology’s (ASIS&T) 85th annual meeting is October 29-November 1, 2022. This year’s theme is Crisis, Transition, Resilience: Re-Imagining an Information-Resilient […]
Age of Data
We are in the middle of the the digital information age. So how does that impact career choices for the incoming generations and even […]
Using Algorithms in AI
An algorithm is a procedure used for solving a problem or performing a computation. Algorithms act as an exact list of instructions that conduct […]
Data-Driven Decision-making
Organizations can gather intelligent data-driven insights by using new forms of databases and machine learning algorithms, along with real-time data processing capabilities. This enables […]