Hailed by the epithet of “Jeopardy-winning machines," Rutter and Jennings were touted to be unbeatable. In 2011, IBM Watson wowed the tech industry with its historic win against two of television quiz show Jeopardy’s greatest champions. In 1997, Deep Blue beat Gary Kasparov, the reigning world champion at that time.
#Artificial sentience how to
In 1952, the computer learnt how to play Tic-Tac-Toe. How soon we will see wider application of Strong AI, would be a factor of the progress made in these areas, including the quantum of funding that will come about. Yet again, this theory encompasses Narrow AI or Weak AI, and it does not traverse into the deep realms of General Purpose or Strong AI.Ĭognitive Technologies and the march towards Strong AIĪdvances in AI is due to knowledge synthesis, self learning, context awareness and natural communication. While interacting with a human, if a machine can fool him/her into believing that it’s another human, then it can be termed as intelligent. Thumb rule proffers-the impact should be at least 5-10 times.Īlan Turing, the famous mathematician of the last century, had propounded a theory. Translated in revenue terms, the next 7-10 years will usher in an additional $400 billion due to the industry’s relentless pursuit to get into the “heart of the business." The caveat here is about picking the right battles and not yielding to the hype. AI-led automation and augmentation across service lines, is likely to deliver $100–120 billion of net productivity gains by 2025. It is transforming the IT BPM industry as well.
Personalization is a rage, and its rapidly growing popularity is because of Narrow AI.
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