Accelerate Your pandas Workloads with Modin*

This session shows how Modin* (a component of the Intel® AI Analytics Toolkit) enables you to significantly accelerate your pandas workload on Intel® hardware. This is done using a single line of code that ensures efficient multicore use and workload distribution with Modin. Pandas does not offer this feature. This session also explores a customer use case from MYCOM OSI that accelerated their data processing pipeline by 2x using Modin.


Roy Allela is an AI software solutions engineer at Intel. He is based in Munich and has a background in microprocessor engineering.

Mehdi Brahimi is a senior data scientist at MYCOM OSI. He has held research, engineering, and data science roles in various industries. He is now focusing on bringing machine learning solutions for telecom networks automation.