The XOps approach, rooted in structured operational excellence and proactive governance, positions businesses for sustained ...

The introduction of self-healing AI infrastructure, as presented by Rajarshi Tarafdar, represents a paradigm shift in AI ...

“We’ve created an adoption framework to propel organisations toward ... and establishing AI/GenAI and MLOps/LLMOps capabilities. Chakraborty's leadership has been instrumental in driving ...

My Solution: Building a Governed MLOps Framework to fit ML lifecycle within the bank’s risk, compliance, and regulatory posture. To Fit ML/MLOps in Bank SDLC: Required Changes & Best Practices ...

In a rapidly evolving digital landscape, the seamless integration of data and machine learning operations has become a ...

This project demonstrates an end-to-end MLOps workflow using Python,FastAPI for serving the trained model,Docker for containerization, MLflow for experiment tracking, and GitHub Actions for continuous ...

Artificial intelligence, or AI, refers to the simulation of human intelligence by computers and other machines. Increasingly, there are AI applications that can problem-solve, understand and mimic ...

Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.