Decades ago the challenge in investing was the difficulty in obtaining data and the ones who had the most data and were able ... to analyze it most effectively were the most successful. Today the challenge in investing is the availability of too much data and the difficulty in sifting out meaningful signals from the ever-growing data noise. In the past the most effective decision makers relied on the ability of their brains to analyze as much relevant data as possible, recognize patterns and arrive at the best possible decisions. As the world became more interconnected, the data that needed to be analyzed to obtain those insights exploded, and the very same effective decision makers started to get overwhelmed. The convergence of two important trends – the availability of massive data sets, including historic data spanning several decades, and the emergence of extremely powerful computing capabilities at reasonable costs through the cloud revolution – enabled us to leverage advances in artificial intelligence / machine learning to simulate an army of assistants who worked day and night to make the task of the decision maker much easier. While we continue to use our massively distributed AI based on Evolutionary Intelligence for financial investments, we have been increasingly focusing on building out our unique capabilities in deep learning. As we look into the future, our vision is to continue to build out our SVADI System further leveraging multiple disciplines of AI such as neuro evolution to assimilate more data, perform better analysis, make smarter decisions and take rapid actions. read more