Five Types of Leaders AI Needs (And Why Companies Keep Missing It)
IBM’s Watson Health burned $5 billion. Zillow lost half a billion in a quarter. Builder.ai promised automation, then revealed humans were doing the work.T...
Author: Shawn Ogunseye
Stop Training Your Competitor’s AI
When AI becomes part of the team rather than a private assistant, it becomes a platform for organizational intelligence. The most valuable conversations in your...
They Can Include AI, But Should They?
I’ve come to believe the most valuable skill we can teach in technology education isn’t how to implement something. It’s how to decide whether something should ...
An exploratory study of the critical factors affecting the acceptability of e-learning in Nigerian universities
This paper highlights the factors that will affect the use of e-learning in developing countries in the COVID19 era.
Designing for Information Quality in the Era of Repurposable Crowdsourced User-Generated Content
Conventional wisdom holds that expert contributors provide higher quality user-generated content (UGC) than novices. Using the cognitive construct of selective ...
What Makes a Good Crowd? Rethinking the Relationship between Recruitment Strategies and Data Quality in Crowdsourcing
Conventional wisdom dictates that the quality of data collected in a crowdsourcing project is positively related to how knowledgeable the contributors are. Cons...
Do Crowds Go Stale? Exploring the Effects of Crowd Reuse on Data Diversity
Crowdsourcing is increasingly used to engage people to contribute data for a variety of purposes to support decision-making and analysis. A common assumption in...
Can Expertise Impair the Quality of Crowdsourced Data?
It is not uncommon for projects that collect crowdsourced data to be commissioned with incomplete knowledge of data contributors, data consumers, and/or the pur...