Fine-grained large-scale content recommendations for MSX sellers

no code implementations • 9 Jul 2024 • Manpreet Singh, Ravdeep Pasricha, Ravi Prasad Kondapalli, Kiran R, Nitish Singh, Akshita Agarwalla, Manoj R, Manish Prabhakar, Laurent Boué

The model operates at the opportunity level which is the lowest possible granularity and the most relevant one for sellers.

feature selection Recommendation Systems +1

A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation

no code implementations • 4 Jan 2024 • Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran R, Laurent Boué

In this paper, we design a real-time question-answering system specifically targeted for helping sellers get relevant material/documentation they can share live with their customers or refer to during a call.

Question Answering Recommendation Systems

Motion Informed Needle Segmentation in Ultrasound Images

no code implementations • 2 Dec 2023 • Raghavv Goel, Cecilia Morales, Manpreet Singh, Artur Dubrawski, John Galeotti, Howie Choset

Third, to our knowledge we are the first to implement a learnable filter to incorporate non-linear needle motion for improving needle segmentation.

Decoder Segmentation

PyRCA: A Library for Metric-based Root Cause Analysis

1 code implementation • 20 Jun 2023 • Chenghao Liu, Wenzhuo Yang, Himanshu Mittal, Manpreet Singh, Doyen Sahoo, Steven C. H. Hoi

We introduce PyRCA, an open-source Python machine learning library of Root Cause Analysis (RCA) for Artificial Intelligence for IT Operations (AIOps).

Causal Discovery graph construction

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges

no code implementations • 10 Apr 2023 • Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Saverese, Steven C. H. Hoi

There are a wide variety of problems to address, and multiple use-cases, where AI capabilities can be leveraged to enhance operational efficiency.

Merlion: A Machine Learning Library for Time Series

2 code implementations • 20 Sep 2021 • Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

We introduce Merlion, an open-source machine learning library for time series.

Anomaly Detection BIG-bench Machine Learning +2