How 'Noise' can help Businesses Close the Last Mile in Artificial Intelligence

Third Generation Artificial Intelligence The 21st Century is presently transitioning into the Era of Deep Learning, where leaders like Google are using deep learning algorithms in neural networks find out impacting member from data and use that data to predict a model. The technique uses recurrent neural networks (RNN) to allow the system to auto-correlate historical data and live feeds. For example, if a company took historical data from the top 10 countries by Gross Domestic Product (GDP) with employment ratios, inflation data, gold prices, and stock exchange data and put it all into a historical system, along with live feeds, the neural network would auto-correlate the data. As with any system, the analysis will only be as good as the data; how ever, the challenge with deep learning AI systems is that in most cases, the historical data was not collected with AI systems in mind.