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Many businesses are now adopting AI as a mainstream method of augmenting processes and building efficient systems faster. With machine learning and deep learning models getting productionized into mainstream work, it is imperative that model performance is always monitored.
Join our webinar on Active Learning for building and maintaining high performing Machine Learning models where we will discuss how active learning methods, combined with incremental learning, can be practically applied to build a high performing ML model faster and maintain model performance over time.
SPEAKERS:
Vibha Bhagchandani - AVP – AI & Cognitive Solutions, Mphasis NEXT Labs
With 14+ years of experience in the technology industry, Vibha is responsible for solutioning and building IP components as well as Proof of Concepts for client-focused cognitive projects. Vibha led the efforts for onboarding Mphasis proprietary ML algorithms on various cloud provider marketplaces like AWS. She has been actively involved in the research, development and delivery of Natural Language Processing (NLP) focused product development initiatives for some of Mphasis' premier clients. She has done her B.E. in Computer Science and a post-graduate in Management from the Indian School of Business (ISB), Hyderabad.
Manish Shukla - Senior Associate Business Analyst, Mphasis NEXT Labs
Manish Shukla is part of the Mphasis innovation and research group - Mphasis NEXT Labs. He holds a M. Tech. degree from Indian Institute of Technology, Kanpur in Industrial & Management Engineering. His technical skills include Machine Learning, Deep Learning, Operations Research and Statistical Modelling. He has extensively worked in the field of Text Analytics, Natural Language Processing, Computer Vision, Email Order Processing and Information retrieval from unstructured documents. He has keen interest in advanced AI ML technologies and has been currently exploring different methods of Applied AI focused on NLP.
Shishir Kapoor - Global Machine Learning Marketplace Lead for AWS
Shishir is a Global ML Category lead for AWS Marketplace responsible for driving overall GTM strategy to accelerate customer adoption of pre-trained machine learning model packages and algorithms developed by third party sellers. AWS ML Marketplace platform is a hosted repository of plug-and-play AI model packages and algorithms published by third party sellers that customers can deploy and integrate into their applications to accelerate ML adoption within their organization. Shishir brings over 15 years of cross-vertical industry experience in innovative product and practice development, with a focus on artificial intelligence and machine learning.