• An end-to-end model life cycle management including experimentation, training, deployment and serving of the models across all key cloud hyperscalers
  • The capability to ensure Infrastructure as a code by automating resource provisioning for training, scoring, etc. leveraging pre-built pipelines for the models
  • The ability to decipher insights related to model explanations and importance of features for a particular model and bring in a responsible AI practice
  • A centralized view of all models in the production to help monitor model drift, data drift, service health along with a re-training mechanism
  • A cohesive governance mechanism for the models wrapped with persona based access mechanism and adherence to well-defined guidelines principles of responsible AI
  • An automated model comparison and registry by extending DevOps pipelines, along with continuous re-training mechanism for the models
  • The capability to attain business insights on the models deployed by leveraging key business metrics to capture performance and RoI on the models

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LTI is a global technology consulting and digital solutions Company helping more than 420 clients succeed in a converging world. With operations in 32 countries

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lntinfotech

lntinfotech

LTI is a global technology consulting and digital solutions Company helping more than 420 clients succeed in a converging world. With operations in 32 countries

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