In 1950, Alan Turing published an article in MIND entitled Computing Machinery and Intelligence. It posits, confidently, that computers would advance to a point at which they could be programmed to learn and perform with skills rivaling human intelligence. At the time, the proposition was revolutionary, though it actually reflected ‘computability and the universal machine’ work he had been pursuing since 1936. The paper laid out the concept of the discrete state machine model, clarified the prospect of what he termed 'intelligent machinery' and provided real suggestions about how Artificial Intelligence could happen.
Posted by Eric Chase
June 28, 2017 at 10:30 AM
Posted by Phil Cunningham
March 22, 2017 at 7:50 AM
Telephones came into existence in the late 19th Century. Along with the innovation came the establishment of new businesses, each focused on providing this new communication capability to the marketplace. And along with those emergent organizations came hundreds of thousands of new jobs for switchboard operators who would connect incoming calls to a final destination. The overwhelming rise in market saturation of telephones and resulting call activity outpaced the capacity of human workers to connect the calls well into the 20th Century. Automatic switching equipment emerged as a solution - and ultimately replaced the workforce entirely.
In almost every industry and sector, AI is opening up new possibilities and forcing us to think outside of long-held paradigms. As these burgeoning resources reshape how we approach business, two related points emerge as vital. First, while the ‘wow’ factor of AI and machine learning is high, it would be dangerous to overestimate the value of cognitive technologies. Second, organizational leaders must be involved in the decisions to invest in and adopt technologies based on how the resources will enhance workforce performance.