Robotic process automation has the potential to spark the next industrial revolution. Bots have been designed that can write literature and compose original music. They are so good at these seemingly ‘creative’ endeavours that humans cannot distinguish between music created by a software program and that by a human composer. Extrapolating from this, smart bots have also found application in developing computer programs and writing code.
Manufacturing industries have been making use of robots and automation on a very large scale. Robots have been successful in meeting the requirements of precision, endurance, speed, and reliability. Robots perform all kinds of dangerous and dirty jobs. Robots also handle the manufacturing work which includes material handling (pick and place), welding, packaging, assembling, painting, palletizing, product testing and inspection.
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Since manufacturing products in the U.S. is more expensive due to salaries, compliance regulations and cost of materials, it has to be high quality. This is why knowledge of quality systems is important. The goal of a quality system is to ensure that the manufactured product has very little variance from the design standard. It is based on statistical process control (SPC). Six Sigma, ISO 9001 or TQM are different kinds of quality systems. Knowledge of any of these systems would make a job seeker stand out from the other job candidates.
The Forex trading world has been growing much more popular and people are entering it to trade currencies around the globe. This kind of trade is permitted by the bank so anyone can trade currencies between different countries for a living. The Forex (Foreign Currency Exchange) is done internationally there is no main center or place to do these transactions. The market trading exchange rates change every second so you need the proper experience and time to enter deals, earning profits mainly rely on your decisions as well as money loss.
Such bots have been used extensively in data entry and database management services. However, more complex ‘smart’ bots have also been developed that can do actually data processing to simulate ‘intelligence’. These programs can take decisions and perform a variety of tasks and follow a set of rules and algorithms. What is significant that they programs can actually ‘learn’ as they process more and more data; in effect that they get better the more they work. Over time, they can recognise what inputs produce the outcomes nearest to the perfect ideal and then tailor their inputs accordingly.