DataHour: MLOps - The Practical Implications Going Forward

DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

Any technology does not develop in a Silo. It needs the supporting technologies to also get to that minimum required threshold. For example, the "Internet" had been around since the 90's, but it took the 10 years for Telecom technology to grow to that minimum required threshold for the .net revolution to happen. MLOps has been around for 7-8 years now, but it never really could take off as much as it was envisioned to, but  now it is possible, because the conditions are right - due to high-speed Internet connections - 5g, now even 6g, higher levels of Cloud Adoption, zero service latency, MLOps can now give the boost and impact to AI adoption that was never seen before!

It's an exciting time to be around! Within 5 years we will have transformational changes in the way AI penetrates our own daily lives, in a way never seen before - all due to MLOps! Education, Transport, Energy, Governance, Social Media (Ai is already pretty heavy here) - those who adopt Ai will go years ahead of those who don't, and it will become a default mandatory, like having a Website is, for any company today.

In this DataHour, Ruju will cover the impacting points about MLOps, and then will demonstrate how to actually use FlAi MLOps Suite.

Prerequisites: Enthusiasm of learning Data Science and basic understanding of python, ML and AI.  

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Ruju Alurkar

Founder & CEO of FlAi MLOps

Ruju is the Founder & CEO of FlAi MLOps. He is a BTech graduate from VIT (Vellore institute of Technology) and holds extensive experience in creating and deploying AI-ML pipelines as a MLOps Engineer prior to starting off with the idea for FlAi. FlAi is an end-to-end low-code SaaS platform to design, create, build and deploy Ai-ML pipelines at scale. 

You can connect with him on Linkedin. Follow FlAi MLOps here.