The EquBot platform understands the financial markets by reading and analyzing millions of traditional (e.g. financial statements) and non-traditional (e.g. news articles) data sources each day. With Watson, the EquBot platform is able to build intuition, experience, and to continuously learn as headlines break and new information becomes available.
The Platform Process
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90% of the data in existence today was created in the past two years.* The gap between what is available and what people can take in and analyze is wide and will only continue to grow. Much of this data is non-traditional; newer data such as social media posts, satellite imagery, and website traffic patterns that must be analyzed and organized to be useful. Each new piece of data represents a new possible insight on a company or the markets.
The three founders have led artificial intelligence and machine learning projects for top silicon valley tech companies such as Intel, as well as managed multi-billion dollar portfolios for Goldman Sachs and Fidelity. They hold five advanced degrees from UC Berkeley and Stanford.
Recent advances in machine learning and cloud computing enable AI systems to analyze and continuously learn from the vast amount of data being generated each day.
*Please see the IBM website for more information. Information contained in IBM’s website is not incorporated by reference in, and should not be considered as part of this website