Author:
Vibha Tripathi
Affiliation:
MIO and U.S.A.
Keyword(s):
Data Analytics, Big Data, Artificial Intelligence (AI), Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks (ANN), Gradient Boosted Ensembles (GBM), Market Prediction, Portfolio Selection, Algorithmic Trading, Statistical Models, Biases, Data Confinement, Transfer Learning, Model Locality, Interpretability, Explainable AI.
Abstract:
In this paper, we survey the current known applications of Machine Learning based Data Analytics and automation in finance industry. We look into the challenges involved in furthering this technology, particularly in employing more Deep Learning approaches proven for successful automation in other domains. We enumerate observations on some of the barriers faced by the industry in effectively adopting and accelerating use of AI techniques, and finally propose more areas that we believe could further benefit from application of Machine Learning.