Building and Deploying Natural Language Processing Systems

A talk by Bikalpa Neupane PhD
IBM Watson AL/ML & NLP, IBM

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Stages covered by this talk

About this talk

Through the course of the talk, Bikalpa will guide you through the process of building real-world Natural Language Processing solutions in larger product setups. You’ll learn about state-of-the-art-NLP models to solve NLP tasks such as entity extraction and recognition, classification, categories, sentiment analysis and information discovery. You’ll understand the AI ecosystem ranging from generalized NLP solutions and conversational AI stacks. You’ll learn to choose and apply the best NLP vendors for different industry verticals such as retail, health care, education etc and recognize best solutions for your business scenarios. Finally, you’ll learn best practices to assemble resources and build a machine learning/data science team from scratch.

Intended audience - This talk is suited for Chief Technology Officers, IT Directors, Engineering Managers, AI, Data science and Machine Learning managers and Technical Product managers. For consultation or opportunities please reach out to bneupane@fas.harvard.edu.

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