Smart Data Quality and Data Management using ML and NLP Techniques’

Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. Machine Learning is not just for predictive analytics. It can also be embedded within tools to automate data management development and optimize execution. There are cutting-edge models which are embedding in ML-driven intelligence into data management (DM) tools. Machine learning is high value in these contexts because it increases developer productivity, makes advanced functions doable by lightly technical users, and elevates system performance with minimal administrator involvement. Due to these compelling benefits, most Data Management functions automated or optimized via ML and other approaches.

NASSCOM Invites you to this tech session to learn in details about the concepts of Data Management, Data Quality and Machine learning .