Chandu Chilakapati spoke at a webinar that aimed to demystify the use of Machine Learning (ML) and give finance professionals a way to decide how to use it, understand how it works, and assess outputs and the data science to make it successful.

The seminar looked at:

1. The type of problems ML can solve, current attitudes to ML and an explanation of the framework that ML operates within and its potential strengths and weaknesses in application to finance problems.
2. How algorithms are applied, where they come from and how financial executives without computer science backgrounds can understand and assess the algorithms being used in their business.
3. Using data in machine learning solutions and how data deployment is critical to the assessment of machine learning solutions.
4. How to ask the right questions, select the best data and understand how algorithms predict and classify to help financial executives make better decisions and communicate more effectively.

The talk was illustrated by a look at the use of machine learning to estimate credit ratings and incremental borrowing rates for businesses.

To view the webinar recording, click here.  

To download a compendium of articles on machine learning for finance executives previously published by CFO.com, click here.