1 day ago
Big Data is the unexpected resource bonanza of the current century.  Moore’s Law driven advances in computing power, the rise of cheap storage and advances in algorithm design have enabled the capture, storage, and processing of many types of data previously that were unavailable for use in computing systems.  Documents, email, text messages, audio files, and images are now able to transform into a usable digital format for use by analysis systems, especially artificial intelligence.  The AI systems can…

3 weeks 4 days ago
Machine learning is a powerful tool in the AI toolbox, but its limitations must be understood to use effectively. GETTY Machine learning has become the latest darling of the IT marketing space, a secret sauce that is supposed to turbo-charge computers and brings us closer to the nirvana of artificial intelligence dominance …. or something like that. Like so much of what comes out of IT marketing, most of it is hype and deceptive hype at that. While there is a lot of power in what machine learning can do,…

1 month 1 week ago
A new approach to defining and designing systems is coming. Introduction The human ecosystem is made of open and closed systems. While the earth is a closed system for matter but an open system for energy, the human body is considered an open system. There is a growing belief that the current understanding of science can not wholly explain human life, mind, and consciousness, nor can it explain the nature and origin of life, matter, the environment, the universe, and reality. Perhaps there is a need for…

1 month 2 weeks ago
We are not strangers to the way AI is impacting our daily lives — both personally and professionally. We have been audience to the paranoia about AI taking away jobs and the optimism of AI creating jobs. While the jury is still out on the long-term impact of AI, we’re already seeing automation of several activities, ranging from driving to radiology. It’s becoming evident that no job will remain untouched by AI, though the degree of impact will differ from occupation to occupation. Automation in the IT…

2 years 4 months ago
By Irving Wladawsky-Berger, Ph.D.  |  April 24, 2017 I recently attended a very interesting talk -- Exploring the Impact of Artificial Intelligence: Prediction versus Judgment -- by University of Toronto professor Avi Goldfarb.  The talk was based on recent research conducted with his UoT colleagues Ajay Agrawal  and Joshua Gans.  In addition to an in-depth paper aimed at a research audience, they’ve explained their work in two more general interest articles, one in the Harvard Business Review and the…