Welcome to the podcast my client Nathaniel Powell, Founder & CEO of DeepM! Deep MM's neural network outperforms traditional fixed income pricing filters such as Kalman filters using deep learning techniques. Reducing the toughest, most complex data integration obstacles to simple, instantaneous insights combining AI and speed to deliver unparalleled transparency and higher returns.

Nathan has 18 years of experience in technology overall 13 years of experience in machine learning and data science at places like Microsoft and JP Morgan. At Microsoft, he increased the revenue of Bing by $100 MM (A/B tested), and also applied earlier deep learning language models on question answering scenarios. At JP Morgan, he designed and implemented a model which beat Bloomberg's and others.

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