Minimizing Automobile Design Time
Problem: To help a global automobile manufacturer minimize design time Business need: A large North American automobile company approached INSOFE with a goal to reduce their
Author Archive
Category ConsultingAugust 5, 2020
Category ConsultingJuly 27, 2020
Transforming a Captive Unit to a Global Center of Excellence
Clients: One of the world’s largest HR services firm and one of the largest stock market services firm Problem: Both organizations have units in India that
Category ConsultingJuly 27, 2020
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
Category AI AdoptionJuly 23, 2020
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
Category ConsultingJuly 15, 2020
SHIP FROM STORE OPTIMIZATION
The Client: One of the largest north-American clothing retailer. The retailer had brick and mortar stores across the country in addition to an online store Business Problem: Shipping
Category Data Science WannabesJune 17, 2020
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 these series, you can find them here (part 1, part 2, part 3).
Category Data Science WannabesJune 10, 2020
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
Category Data Science WannabesJune 4, 2020
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
Category Data Science Wannabes, Transforming CareersMay 28, 2020
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