Utpal Chakraborty is an eminent Data Scientist and AI researcher having 21 years of industry experience, including working as a Principal Architect in L&T Infotech, IBM, Capgemini and other MNCs in his past assignments. At the moment, he is the Head of Artificial Intelligence at Yes Bank. Utpal is a well-known speaker and writer on Artificial Intelligence, IoT, Agile & Lean, speaking at conferences around the world. His recent research on machine learning titled “Layered Approximation for Deep Neural Networks” has been appreciated in different conferences, institutions and universities. He has also demonstrated completely out-of-the-box hybridized Agile & Lean implementations in different industries, which has been appreciated by Agile & Lean communities worldwide.
Curating the Type of Data for Machine Learning Viability
♦ Importance of data management and data processing: Impacting the variables
♦ Lack of data or missing data for machine learning models: Sourcing internally or externally
♦ Identifying where financial institutions have the data sets to conduct deep learning
♦ Practicalities of using machine learning to create the data required: Quality consistency issues and more