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Genpact & NASSCOM release an MLOps guide to drive AI adoption

MLOps is a set of practices and methodology used to automate ML model development, achieve automated and reliable ML model deployment.

NASSCOM, in association with Genpact and EY, has compiled a guide for enterprises to enable effective setup, management, and scaling of ML operations. ​​The pandemic has forced organisations across the world to move to the cloud and led to a proliferation of ML models to drive digitisation. However, merely 27% of AI projects move to production. Addressing the anomaly from challenges related to model development, iteration, deployment and monitoring is the need of the hour. The compendium will act as a blueprint for deploying MLOps in your organisation.

Key highlights:

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A set of practices and methodology used to automate ML model development, achieve automated and reliable ML model deployment. 

  • Need for MLOps?

It combines the best of automation, IT operations and management and Continuous Development & Continuous Integration (CI/CD) in Machine Learning and Artificial Intelligence.

  • Benefits of MLOps?

Reduced time-to-market for ML products, improved RoI on AI/ML initiatives, advanced Data Management, etc.

  • Dimensions of MLOps

The compilation brings out 6 pillars of MLOps classified under Implementation and business operations.

  • Future of MLOps

MLOps promises standardisation of processes and methodologies and is expected to boost efficiencies in terms of cost, quality, and time to value.

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Kartik Wali
A writer by passion, Kartik strives to get a deep understanding of AI, Data analytics and its implementation on all walks of life. As a Senior Technology Journalist, Kartik looks forward to writing about the latest technological trends that transform the way of life!

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