16 Jan To fully understand what Artificial Intelligence is, the first thing to do is to be clear and stop relating it to robots and the fact that they are here to try to take our jobs

To fully understand what Artificial Intelligence is, the first thing to do is to be clear and stop relating it to robots and the fact that they are here to try to take our jobs. HubSpot Marketing (2017) defines it as a broad area of computer science that makes machines seen to have human intelligence. This can be fully understood after knowing that the study of different fields to create the systems necessary to mimic the neural responses of the brain.

AI´s prediction capabilities
In a research report of The Machine Intelligence Continuum (2018), the various and expanded concepts of systems able to generate and predict are quite extensive, although it can specialize whether the information comes supervised by a series of data or improvised by analyzing patterns on data sets. According to the article, “Systems that Predict” are capable of analyzing data and producing probabilistic predictions based on the data.
If we compare that information with “Systems that Learn”, can make predictions but require less hand-engineering to learn and perform tasks without being programmed to do so.

Learning Pathway for Artificial Intelligence
Machines learn the information by experiencing stimuli. Programs analyze thousands of examples to build an algorithm to modify it to check if it achieves the desired goal. Therefore, the program gets smarter. With BIG DATA (term defined by the Harvard Business Review (2018) as vast volumes of information collected by different companies.)

The Artificial Intelligence programs have a field in Computer science that works on replicating cognitive capabilities from the field of Neural Networks, where deeper and more complex relations of knowledge are made. Ramesh (2017) introduces the process after a machine learns a pattern, so consequentially it can predict in a way to identify prediction to high dimensional data. After giving an algorithm a goal, it will attempt to achieve the goal stated, leading to reinforcement learning.“

2.) attached file is for the below information: Provide your thoughts the below quoted information.

“The AI impact or real value in North America is as PWC (2017) mentioned in the article:
“…the potential uplift to GDP from AI will be amplified by the huge opportunities to introduce more productive technologies, many of which are ready to be applied. And the gains will be accelerated by the advanced technological and consumer readiness for AI, along with the impact of rapid accumulation of assets – not just technology, but data touchpoints and the flows of information and customer insight that come with them.”