Speaker "Sourav Mazumder" Details Back



How to operationalize Trustworthy AI Models in production


Using AI for business solutions and operations has become mandatory for organizations today. Most of the organizations today are using various technologies and platforms to develop (and deploy) AI models based on choices and skills of data scientists in different groups. However, ensuring Trustworthiness of those AI Models is of paramount importance for every organization.for various reasons starting from social responsibility, compliance to legal compliance, audit requirements, to assurance of overall business value. The requirements to make an AI Model trustworthy run across the areas of Independent Validation of Models; Continuous Monitoring of Model Performance (Accuracy, Bias, Drift, etc) in Production; Model Interpretability; Controlled sourcing and reuse of Data, Features and Packages; Model Facts; Approval steps in Model Lifecycle; Change Management, etc. In this session you will learn how AI models developed and deployed in Heterogeneous platforms can be Operationalized keeping above requirements fulfilled but customized based on an organization's governance requirements. Attendees would also learn the technology agnostic key principles those can be used to ensure trustworthiness of AI Models.


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.