Challenges of Operationalising Data Science in Production

This event is hosted by ML-Engineering & AI-Ops Singapore meetup group.

Kindly register at https://www.meetup.com/ML-Engineering-AI-Ops-Singapore/events/262220360/

Details
>> 18:30: Registration, Light snacks, Networking
>> 19:00: Presentation and Demo
Challenges of Operationalising Data Science in Production

The presentation topic for this meet-up will be covered in two sections without any breaks in-between

Section 1: Business Aspects (20 mins)
Speaker: Rasmi Mohapatra, Product Owner, Experian
https://www.linkedin.com/in/rasmi-m-428b3a46/
Once your data science application is in the production, there are many typical data science operational challenges experienced today - across business domains - we will cover a few challenges with example scenarios

Section 2: Tech Aspects (40 mins, slides & demo, Q&A )
Speaker: Santanu Dey, Solution Architect, Iguazio
https://www.linkedin.com/in/santanu/
In this part of the talk, we will cover how these operational challenges can be overcome e.g. automating data collection & preparation, making ML models portable & deploying in production, monitoring and scaling, etc.
with relevant demos.