NASSCOM’s K-Tech Centre of Excellence for Data Science and Artificial Intelligence in association with Strategic Partner Genpact has launched the MLOps playbook, a compendium of MLOps implementation framework and industry best practices. 

The compendium incorporates extensive market research outcomes supported by EY as a ‘Research Partner’. The playbook was launched at the latest edition of AI Parley on 10th March 2022.

Organisations across industries are spending on AI/ML initiatives to generate business insights from data. But they are not able to scale their ML models to production at an enterprise level. 

Manual, time-consuming efforts are required for ML Model monitoring, ML Model retraining with new data and subsequent deployment to production environments. ML experiments are not reproducible, and Data Scientists do not have access to technology infrastructure that can auto- adapt to their needs. 

According to Gartner’s Top 10 Data and Analytics Technology Trends for 2020, 75% of companies will push their AI competitive frontiers by 2024. 

They will move away from the pilot stage to scale AI adoption in production. Thus, organisations that are better prepared to channelise their AI investments in the appropriate tools, technologies, practices, frameworks and skillsets will be better equipped to reap five-fold benefits in their ROI. Thus, organisations will need to solve the challenges arising from poor data infrastructure.

This is where the NASSCOM MLOps Playbook will come into play. An engaging panel discussion followed soon after the launch of the playbook. The discussion was on the challenges of ML adoption at scale, the need for MLOps to overcome the challenges and key drivers of MLOps adoption that can fuel the success stories of AI investments in organisations.

One can watch the entire panel discussion here.