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Speaker "Sourav Mazumder" Details Back

 

Topic

Using Watson Personality Insights to develop loyal Customer base

Abstract

Knowing insights about the personality of the people is always an interesting idea. This can help businesses to understand psychology of their customers which can in turn help creating a successful partnership and loyal customers. Work has happened in this area in past but mostly using Survey which is time consuming and less reliable because of less amount of data point. AI and Machine Learning can be used to know Personal Insights of the people at much lesser time and money and through a reliable model. In this session, we’ll discuss how Watson Personality Insight API in conjunction with Spark can be used to create and maintain loyal Customer base identified using Personality Traits. In this session attendees will learn how insights about target person’s personality can be obtained, based on popular Big 5 personality model, using the snippets from their written communication using Watson Personality Insight API and Spark. They will also learn how the ame can be used to create and maintain a loyal Customer base in an automated fashion

Profile

Sourav Mazumder is a Data Scientist Thought Leader, Open Group Distinguished Data Scientist, responsible for technical thought leadership & strategy, technical vitality, and technical enablement in AI and Data Science area for IBM's clients and also internal people in IBM. Sourav works with enterprise clients from AI strategy development to implementations and productionization particularly focusing on First of a Kind Projects. 
 
Sourav has consistently driven business innovation and values through Methodologies and Technologies related to Artificial Intelligence, Data Science and Big Data transpired through his knowledge, insights, experience and influencing skills across multiple industries including Manufacturing, Insurance, Telecom, Banking, Media, Health Care and Retail industries in USA, Europe, Australia, Japan and India. In last 10 years he has influenced key decision makers of several fortune 500 companies to adopt Artificial Intelligence, Data Science, and Big Data related technologies to address complex business needs. Sourav has also consistently provided directions to and successfully led numerous challenging Artificial Intelligence, Data Science and Big Data projects, applying various related methodologies ranging from Descriptive statistics, Probabilistic Modeling, Algorithmic Modeling, Natural Language Processing, etc., to solve critical business problems. Sourav has also successfully partnered with academia within North America, India, South Africa to mentor the students and enabling them in this area.  
 
Sourav has experience and exposure in working in variety of Artificial Intelligence, Data Science and Big Data related technologies like Watson Open Scale, Watson Studio, Watson Natural Language Processing, Watson Machine Learning, IBM Cloud Pak for Data, Spark, Hadoop, BigSQL, HBase, MongoDb, Solr, System ML, Brunel, Cognos, R, Python, Scala/Java, etc., using them in projects involving phases from creation of Minimum Viable Product to Productionization. Sourav is an Open Source enthusiast and contributes to Open Source regularly. 
 
Sourav consistently publishes papers/blogs/articles in various industry forums. Sourav is co-author, guest editor and chief editor of multiple books in AI, Data Science and Big Data space. Sourav is regularly invited to speak in various Industry conferences, like Spark Summit, IBM Think, Global AI Conference, etc in this subject area.