AI and Machina Learning
AI and Machine Learning are often stated to steal our jobs and leave us subsisting on the universal basic income. Indeed advances of modern new technologies are remarkable. Computers win against humans in all sorts of games from chess to Jeopardy to Go. They even imitate humans and become naturalized citizens like Sophia, a humanoid robot. Still it is worth remembering that this spectacular progress has been achieved because a) availability of tons of data and b) explosion in computing power. Without stored data and silicon chips computerized robots are useless. Moreover, even though Machine Learning is a technology that builds itself and learns constantly it is still fairly limited by neural networks with multiple internal layers.
It follows then that machines can thrive only in structured environment where digitalized information is obtainable and computing power is accessible. It does not mean, therefore, that we will automatically be losing jobs to robots. Stanford professor Andrew Ng writes the following about types of jobs ripe for automation: “If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.” However, as Pablo Picasso said “Computers are useless. They can only give you answers.”
For a time being jobs that require human qualities like communication, empathy, creativity, strategic thinking, questioning, and visioning are safe from being taken away by computers. To find out how to profit from a world of big data, analytics and the internet of things you may want to read Barnard Marr’s book entitled Data Strategy. This book will be discussed during the upcoming session of MBA – Innovation and Data Analysis program that commences on October 24, 2018.