Speaker "Sourav Mazumder" Details Back



Using Watson Personality Insights to develop loyal Customer base


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


Sourav is a Thought Leader in the area of Artificial Intelligence and Big Data for last 10 years with over 22 years of total IT experience. Sourav has consistently driven business innovation and values through Data Science Methodologies and Technologies 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 in about 7 different fortune 500 companies to adopt Data Science technologies to address complex business needs through use of large volume of Data. Sourav has also consistently provided directions to and successfully led numerous challenging Data Science oriented projects in last 10 years applying various Data Science methodologies ranging from Descriptive statistics, Probabilistic Modeling, Algorithmic Modeling, NLP, etc., to solve critical business problems using large volume of data. Sourav is a seasoned professional experienced in working both as an individual contributor and team player thriving in a dynamic and ambiguous environment. Sourav has experience and exposure in working in variety of Data Science and Big Data related technologies like Watson APIs, Watson Studio/DSx, Watson Explorer, Spark, Hadoop, BigSQL, HBase, MongoDb, Solr, System ML, Brunel, Cognos, R, Python, Scala/Java, etc., using them in projects involving phases from PoC to Productionization. Sourav consistently publishes papers/blogs/articles in various industry forums. He also speaks in various Industry conferences on Data Science use cases and Big Data.