Seth Earley is a sought-after speaker, writer, and influencer. His writing has appeared in IT Professional Magazine from the IEEE where, as former editor, he wrote a regular column on data analytics and information access issues and trends. He has also contributed to the Harvard Business Review, CMSWire, Journal of Applied Marketing Analytics, and he co-authored “Practical Knowledge Management” from IBM Press.
How Companies Are Benefiting from “Lite” Artificial Intelligence
AI applications range from the very complex and expensive (like self-driving cars) to more modest “AI lite” initiatives. In this article Seth lays out a path to AI that companies can undertake right now. Read the article.
The Problem with AI
Organizations are best off if they focus on understanding their own data, focus on the business problems they are trying to solve, and build the semantic layers that can allow for data portability across various platforms. This lets them take advantage of best of-breed solutions and not become locked into a particular vendor that does not abstract the business problem, analytic, data, and platform layers required to operationalize the fast-evolving advanced machine learning analytic and AI technologies. Read the full article.
There is No AI Without IA
Although AI is receiving a lot of visibility, the fact that these technologies all require some element of knowledge engineering, information architecture, and high-quality data sources is not well known. Read the full article.