AI: From a knowledge based economy to an automation based one

Staqu Technologies
Jan 18, 2016 · 3 min read

Centuries ago, 90% of the world’s population was involved in agriculture. Today, hardly 2% of it is involved in the same, yet we are able to produce enough food to feed all of us. Machine revolution not only changed the world’s economy but also people’s jobs and their lifestyle. Employees moved from manual to machine to computer related jobs. Various economies in the world turned from a machine based economy to a knowledge based one.

Now we are witnessing a new and powerful technological change in the human history- the Artificial Intelligence: a technology which has the enormous capability of automating most of the jobs around us. A number of predictions have been made which say that after 2030, almost all of the white collar jobs which include but are not limited to diagnosing illness (Medical), software development, filing a patent (Legal), teaching an entry level course (Education), even financial analysis (Fintech) and trend analysis (E-commerce) will be automated by AI. The interesting part about this robust AI technology is that it doesn’t even need domain expertise to do the jobs, they just need data and we have more than enough of it! Numerous famous business groups, investors and entrepreneur like Jack Ma are pouring their dollars to this particular technology to become the leader of future technology.

Before my claims of AI seem too specious to you let’s start with some of the published results in AI. Let’s begin with medicine. Recently Sebastian Thrun, the most revered personality in AI and professor at Stanford university published a research paper which claims to detect the cancerous cell with 90% of accuracy! FYI, human based diagnosis have an accuracy of only 50% and Sebastian is professor in electrical engineering department and has never even studied medicine!

In one of his stunning blog posts, researcher from Stanford University Andrej Karpathy demonstrated some impressive capability of RNN based Deep learning which can write near to human level software code, blogs and even linux kernels automatically, which if fine-tuned more prolifically, can reach accuracy equivalent to human intelligence.

AI researchers at Deepmind (acquired by Google in 2014) have developed a software engine which can automatically learn to play and finish all the Attari games by itself. You just need to feed the game and the rest will be done by the system. In another breakthrough research, researchers from UTA created a game engine that can empower a computer to play any game for example Super Mario without any human interference. Paper was published in MIT Journal.

Sectors like medicine, gaming and software industry are the new targets of AI, but other sectors like assistive messaging technologies, such as Google’s Messaging App, Facebook M, are already starting to create buzz in the tech industry and have enormous potential to automate the customer support jobs in near future.

Research@Staqu

Research@Staqu is an attempt to showcase some of the…

Research@Staqu

Research@Staqu is an attempt to showcase some of the existing and upcoming work that the AI team as Staqu undertakes to solve business problems (both critical and trivial).

Staqu Technologies

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Perceiving the Future.

Research@Staqu

Research@Staqu is an attempt to showcase some of the existing and upcoming work that the AI team as Staqu undertakes to solve business problems (both critical and trivial).