The hidden truth in ML projects is design and development of the ML is the shortest sprint in the development phase. Enterprises face the daunting task of deployment, continuous integration, humans in the loop, evaluation for accuracy, and bias once the deployment phase is started. We found that most enterprises underestimate this phase of the project both in terms of time and investment required. In this webinar, we hope to provide you with the ground realities for the deployment of ML projects and some of the misconceptions removing the hype associated with ML projects.

We have covered the following topics:

• I have my model built. What is next?
• Design considerations for moving from a perishable model to a perennial model lifecycle.
• MLOps Primer