Impact of AI over the next half decade

Before we begin talking about the impact of Artificial Intelligence over the next half decade, here is a quick introduction to AI.



AI does not aim at accomplishing repetitive tasks based on a given set of rules. It aims at learning new ways of acting from either having performed or watched repetitive tasks; so, having the ability to make subjective decisions with the goals of improving the initially established process. AI means moving away from programming and stepping into “Machine Learning”, where an AI is trained to “acknowledge” certain patterns, hence making its own decisions on how to proceed. Nevertheless, once you enable AI to create code which will instruct RPA, then you have reached Cybernetics and created an A2IM (Autonomous Artificial Intelligence Mechatronics), such as some military drones, but we will come back to that ahead in the text.

Some facts about AI :

  • An experiment was initially performed in 2011 where both humans and AI were “asked” to identify what was shown in a blurred image. Human error rated at 5% while AI at 26%. In 2013 the experiment was repeated and AI error dropped to 3%.
  • In 2015 an AI managed to almost beat the top Poker players in the U.S. (and poker is a strategic “thinking” game where not merely the cards “have a role to play”. The main point was that it learned how to “bluff”, … yes, … really!
  • Also in 2015, an AI was able to accurately draw a picture which mirrored what was written in a given text.
  • Still, in 2015, Professor Pieter Abbeel and his team at UC Berkley AI Laboratory were able for the first time to “teach” a robot to “think for itself”. PR2 (the robot’s name) was able to successfully deal with pieces of clothing (something that does present itself twice in the same shape or form).
  • In 2016 some AI challenges have produced unbelievable results:
  • Analyzing a still picture (from a video clip) and producing a short video (5 seconds) showing what would happen in a sequence of what the image shows. The AI could predict things such as someone falling to the ground or someone opening a bottle and drinking it or a dog running into the water at a beach, amongst other with 96% accuracy towards what really happened next.
  • Another experiment “asked” an AI to predict how a human would behave when faced with an unprecedented situation, after having analyzed videos of that same human behaving in other contexts. Again a 92% accuracy rate was achieved. Have you watched “The Minority Report”? Yes, I know …
  • On January 2017, the AlphaGO AI managed to beat the best GO player in the world. OK. What is it so relevant?!

Go is the most difficult game humans have managed to come up with; it has more permutations in terms of possible moves than the sum of all the atoms that have been calculated to exist in the universe!

  • A clear example of exponential AI evolution (although rudimentary and limited to one single purpose) is now starting to populate our daily life in the form of Self-Driving In 2013, Google was struggling along with BMW (and others although in secrecy) to just make it work and today both along with Tesla have worked almost error-free self-driving AI installed on their vehicles at client’s request and other manufacturers are soon to follow.

Artificial Intelligence that you can use today:


Year to Date there are in fact several AIs which have been developed by companies and can be used by your company, here are some examples and the edge they represent:


  • Airbus has developed an AI that given the specs of a new aircraft such as: cabin volumetry, shape, target weight, fixation points, air flux requirements, temperature requirements, other … is able to create the most efficient airframe for a cabin partition or a new type of seat (that is both lighter and safer than existing ones).
  • A Boston company called “Gamalon” has released an AI that can rewrite its own code based on “learned” probabilities instead of hard variables, this alone has the power of making the tedious part of AI development fully automated for It companies that which to extend their portfolio towards AI offers.
  • AUTODESK, the Product Lifecycle Management solutions giant have recently finished the developed a solution called Bishop which is a precision drilling robotic arm attached to an AI “brain”. The human operator can tell Bishop (speaking to it) that a given component needs a certain number of holes drilled for fixation purposes and Bishop will analyze the structure, what needs to be attached to that component and “decide” on where to drill the holes so that both structures are not compromised. Additionally, if it finds that the outcome will compromise any of the structures it informs so and proposes alternatives like more or fewer
  • An AI in the health sector analyses CT Scans and performs both the diagnosis (having proven to find in average 20% more potential health threats than a “human”) while proposing therapeutically procedures. With regards to the potential of cancer development potential, this AI can diagnose 10% more high lung cancer potential than human doctors.

What is soon to come in AI ?

Source :

  • Exponential growth both in kind as in quantity of AI Cloud-based services offering the likes of the ones mentioned above under the what “you can use today” section.
  • AI pets – Robotics and AI have evolved so far to a state that allows mimicking pet behaviour even with regards to what is perceived as “intelligence”, so the creation of pet alike robots which bear the potential of interacting with humans while creating an emotional bond is a real possibility “as we speak”.
  • Creative Writing – Although still complicated, it is one of the logical next steps for AI, soon at a Cloud near you.
  • Outsourcing to AI – Some of the examples herein mentioned as already available AI offering are based on public Cloud IT landscapes, therefore it is already possible for companies to Outsource Financial Analytics or Virtual Assistant task to a 3rd party AI.
  • At the current trend, by 2020 a computer CPU will cost about 1 penny, therefore we will find them literally everywhere interacting with Cloud-based services and existing AI by consequence; this means AIs (as evolved as they may be) will be literally everywhere (like currently, electricity is).
  • Your Personal assistant will be intelligent, so once you enter your house coming back from home, you AI personal assistant will check your mood via the bio info collected through the sensors on your smartwatch and set the light, music, tv shows, food and so on according to both your preferences and mood. And this won’t take a decade to happen either!
  • You will be able to play an all set of new virtual games where the game (meaning AI) will create the game scenarios and situations as a response to your actions or aspirations, either making it harder or easier to prevail as you wish.
  • You will get a fully automated health checkup every time you take a bath or use the toilet at your house. Body fluids and temperature will be analyzed by sensors and data forwards to an “AI doctor” that will be able to inform if there is something wrong with you and how to proceed. Ok, maybe this one will take a little longer than a decade.

This post is in collaboration with Tenfold, click here to read more about this topic!


Author: GarimaBhaskar

Hey! Good to see you here. I am a person with varied interests. I'm a Software Engineer by the degree and Photographer, Content Writer & Artist by hobby. This is a multi-niche blog where you'll find everything from a smartphone to inspiration. I offer services like Product Photography, Blogger shoots, Graphic Designing and Promotional posts that blend in with the blog's theme. Shoot me a mail at for any queries you might have!

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