The History & Future of AI
The rise of AI, has now in fact become the tea-table talk of almost every second household and the bay-gossip of every tech space. Let’s talk of some history associated to it and how it is now inspiring us 2000ers to take the bull by the horns in our daily manual hardships and take the automation a notch higher and bigger.
The rise of artificial intelligence dates back to the late 1950s, when in 1956, AI was actually debuted at a conference at Dartmouth University. 11 years had gone by post the closure of World War II and Artificial Intelligence was there on the scene. The world was overwhelmed about this new jazz that had kicked-in. Well, there was a lot of optimism too. Us humans, no? Always optimistic. #HOPE
The audience stepping out of the conference had already started believing that AI / robots will replace or maybe augment the caliber of humans by mid 1970s. But none saw that happening. Instead, the AI Winter started where the funding got reduced but an everlasting interest in the artificial intelligence and its research took the world by storm. The interest kept shooting high only when the year 2010 finally came and IBM Watson was introduced to the world. David Ferrucci, who led the research team in the IBM’s DeepQA project, as a principal investigator, created this IBM Watsom which was proudly taking the center stage in all the talks&walks as a natural language based questions answering machine.
Where are we now?
The PC’s hit the scene in the early 80s and the internet in early 90s and now it is the artificial intelligence decade. It is right “out there” and people are talking about it. People are trying to understand it. It has hit the movies. You see Tom Cruise and Will Smith sharing screen space with an A.I.
However, what’s not happening is that AI hasn’t impacted the businesses yet. It hasn’t solved the problems to the scale we have / had anticipated. Or if it has, then the mass doesn’t have access / exposure to it. Mind you, Data Science & AI is different. So before we debate the existence of AI.
Likes of Elon Musk (Tesla), Sam Altman (Y Combinator), etc. are beginning to take their leaps towards the big AI break. However, them and the world are a little worried on the after effects of AI too. More than the excitement about what AI can produce for the masses, it is also about what it can jeopardize. The manual taskforce can go for a toss and find their way back home from their corporate seats.
We have started to see the applications of AI in healthcare, automobile, computer vision industries, etc. and are showing great potential. This new “top of the funnel” positioning of AI in recruitments is something that is quite talked about. How the companies are able to save time in candidate discovery / rediscovery, screening, communication and focus more on candidate relationships, just by the mere applications of AI in recruitment. It is totally spell-binding.
