Author Archive

Predicting Medical Conditions

Problem and Business Case: One of the largest diagnostic centers of a large hospital system wanted to understand if it is possible to predict the onset of a medical symptom in its patients using AI and Machine

AI Adoption

Our research group’s focus is to help organizations adopt AI systematically and efficiently. We work on three layers: CXO layer: Here we build frameworks and tools that help the CXOs measure their current state, the difficulty of

Ship From Store Optimization

The Client: One of the largest north-American clothing retailers. The retailer had brick and mortar stores across the country in addition to an online store Business Problem: Shipping costs are a significant factor in impacting the profit margins of e-tailers.

Becoming a successful data scientist: All you need to know (Part 4)

For those of you who did not read the first few articles in this series, you can find them here (part 1, part 2, part 3). This week, I will take the enterprise point of view to

Becoming a Successful Data Scientist: All You Need to Know (Part 3)

If you have missed out on the start of this insightful series you can click here. For those of you who missed out on our article on how to become a data scientist in this series, you

Becoming a Successful Data Scientist: All You Need to Know (Part 2)

For those of you who did not read the first article in this series, you can find it here. We expect no technical background to understand these articles.  However, these are mostly useful for those who have

Becoming a Successful Data Scientist: All You Need to Know

In this sequence of articles, we will find answers to the following questions.   What is data science? How old is it? How do I figure out how to become a good data scientist (hint:  you need not