Robots are essential machines for the creation of artificial intelligence, and also to open the door to real-time intelligence, both for themselves and for us humans, through automatic and autonomous learning technologies.
In the financial market, for instance, decisions are made by robots in increasingly shorter times and already below a millisecond, with limits increasingly determined by the speed of light itself. And these are decisions that can involve millions of dollars.
Likewise, through the technologies of RPA or Robotic Process Automation and cognitive automation, several adjustments and definitions of business rules of companies in the most varied areas are also increasingly done in real-time. Like, typically, e-commerce and credit analysis decisions.
In practice, human intelligence becomes increasingly impacted, creating new paradigms such as augmented intelligence and, why not, accelerated intelligence. Evidently, like any new disruptive technology, there are several risks in deciding in real-time, as in the past there were – and still are – the risks of transactions in real-time on the internet, as in the case of e-commerce and home banking, for past generations of information technology. But these risks must be seen as more problems to be addressed by Intelligence Technology – which is what I prefer to call the new IT – and that is precisely one of its responsibilities. And one of the ways to minimize the risks is through the control of failures and errors of the robots, that is, with fault tolerance systems that are able to make the machines more resilient to these situations, which will inevitably happen, at the levels of complexity that is expected for Big Data and Internet of Things.
After all, robots allow the most varied approach to process execution, with the ability to even manage other robots. And this flexibility happens from the execution of processes and projects to its configuration and architecture definition of servers and systems for its correct functioning.
In addition to centralizing and standardizing processes, and reducing costs and increasing productivity, the spread of the use of robots in the execution of processes and projects can represent a series of other market benefits that can be identified through the use of graphics showing the time dimensions of robots and humans.
And, in practice, one must seek to migrate the activities of the axis of humans to activities of the axis of robots,
without compromising the previous quality, which will not always be possible.
By Rogerio Figurelli at 07/22/2020