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AI for IT Operations (AIOps) - Using AI/ML for Improving IT Operations

Published in In Proceedings of Society of Cable Telecommunications Engineers (SCTE) 2022 Fall Technical Forum, Philadelphia, United States of America (NCTA), 2022

This paper is about the innovative applications of AI for improving software system observability/reliability

Recommended citation: Hongcheng Wang, Praveen Manoharan, Nilesh Nayan, Aravindakumar Venugopalan, Abhijeet Mulye, Tianwen Chen, Mateja Putic. “AI for IT Operations (AIOps) - Using AI/ML for Improving IT Operations”. In Proceedings of Society of Cable Telecommunications Engineers (SCTE) 2022 Fall Technical Forum, Philadelphia, United States of America. NCTA
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Building a scalable real-time ML inference platform for AIOps

Published in In Proceedings of 2023 Machine Learning Developers Summit (MLDS), Bengaluru, India (ADaSci), 2023

In this paper, we present the method of building a scalable, real-time inference platform for large-scale time-series anomaly detection and root-cause analysis solutions, built as a part of AI For Operations (AIOps) tool.

Recommended citation: Praveen Manoharan, Nilesh Nayan, Aaditya Sharma, Aravindakumar Venugopalan. “Building a scalable real-time ML inference platform for AIOps”. In Proceedings of 2023 Machine Learning Developers Summit (MLDS), Bengaluru, India. ADaSci
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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