Machines have been helping humans in almost all aspects of life since quite a number of years. It started with machines replacing the human muscles, and we have already seen the results. Now they are replacing the human brain, and its up to anyone’s imagination, on what would be the results of this phenomenon.

The new found ability of machines to interpret information to change the way they behave is going to be the reason for the next revolution, the best term for it would be the ‘intelligence revolution’.

Machines are now guiding humans in taking decisions, they are constantly connecting humans with each other, and entertaining and educating them in a manner that is unprecedented in human history.

The industrial revolution has created a huge shift in the world order, creating a huge chasm between the haves and the have-nots. The intelligence revolution, some may argue, is kind of reversing this trend. This revolution has led to globalization, which has created a level playing field for everyone. Outsourcing merged into offshoring, and location no longer is relevant for many activities. This has resulted into the offspring of new world economies like that of China and potentially India. The world is changing at a pace that was never witnessed in the recorded history.

The evolution of machines cannot be stopped, intelligent machines are now found everywhere and their existence is reaching in remote corners of the world. Our job is to ensure that they evolve in a way that is beneficial to humans. Its time we learn from our mistakes from the industrial revolution, and not let similar mistakes re-occur in this age of ‘intelligence revolution’.

Future machines will have to be trained well, as they adopt the ability to learn. A well trained machine will be much more useful than a brand new machine. Future machines will be programmed to learn to understand their users and provide customized services depending on who uses them. Accordingly, there needs to be a focused approach on how we train machines. We will have to supervise how a machine is learning, and what information does it access, to make it work the way we would want it to. Not all machines can be exposed to the open internet, especially, if they need to perform very specific duties. Hence target data repositories will have to be created and customized to suit specific purpose.

As we hear about google’s wireless car and honda’s asimo robot, its very easy to predict what future machines will do, the difficult part is to predict what future humans will do..