30/08/2021
IEEE Women In Engineering (WiE) Affinity Group Kharagpur Section, is organizing a webinar session on Sept 3rd, 2021 (Friday) by industry leaders.
The details of the session are as follows:
Topic: Hands-on session on making your data ready for AI
Description of the talk: Data practitioners spend a considerable amount of time in iterative pre-processing of data before it is considered to be of adequate quality for downstream machine learning tasks. Although time-consuming, pre-processing is an essential step because the quality of training data directly impacts the complexity as well as the accuracy of AI models. Getting insights into the quality of data before it enters a machine learning pipeline can significantly reduce model building time, streamline data preparation efforts and improve the overall reliability of the AI pipeline. In this session, we will walk through the various data quality challenges and try them on standard datasets.
Speaker 1: Hima Patel, Research Manager at IBM Research Lab, India
Biography: Hima Patel is an experienced researcher, technology leader and manages a team of researchers at IBM Research Labs, India. She is on the mission to build innovative tools and technologies to democratise data preparation for AI lifecycles for various data modalities. She has recently also been intrigued by the data challenges in modernisation of legacy database systems, and is leading the development of tools to solve some of these issues. Prior to IBM, she has spent time at research groups at Shell and GE, where she has focussed on problems related to using AI for asset management and medical devices. She is also deeply involved with IEEE Computer Society Bangalore and AnitaB organisations, and spends time volunteering on several initiatives.
Speaker 2: Ruhi Sharma Mittal, Research Advisory Engineer at IBM Research Lab, India
Biography: Ruhi Sharma Mittal is a Research Advisory Engineer at IBM Research Labs, India. In the DataOps team at IBM, she is currently working on building solutions to improve data quality to make data ready for machine learning pipelines. She did her Masters from the Indian Institute of Technology, Bombay. She has authored and co-authored many research papers in top conferences. She has also filed several patents related to machine learning and applied AI. Her research interest includes Machine Learning, Natural Language Processing, and applied AI.
Date and Time: Sept 03, 2021 (Friday), 7 - 8.30 PM IST
Mode: Online
Registration Link: https://forms.gle/KQiQtVF8b8N8Wb4f7
(NOTE: Registration closes on Sep3, 2021 at 12:00 pm IST.
Link for joining the event will only be shared with the registered participants.)