Operationalization of Models Developed and Deployed in Heterogeneous Platforms


Most of the organizations today use multiple technologies and platforms to develop (and deploy) AI/ML models based on choices and skills of data scientists in different groups. However, while operationalizing those models it is important to still maintain common standards for legal compliance, audit requirements and assurance of overall business value. These requirements 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 we shall see how models developed and deployed in Heterogeneous platforms can be still Operationalized keeping above requirements fulfilled but customized based on an organization’s governance requirements. We shall see how Open Source and IBM technologies, can be used to achieve the same with necessary customization. In this session, attendees would also learn the technology agnostic key principles that can be used to handle the above mentioned Governance requirements for Operationalization of AI/ML models developed/deployed in heterogeneous platforms.


Sourav Mazumder is an IBM Data Scientist Thought Leader and The Open Group Distinguished Data Scientist. 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. Over the 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 Modelling, Algorithmic Modelling, Natural Language Processing, etc., to solve critical business problems. Sourav has also successfully partnered with academia within North America, India, South Africa to mentor students and enable them in this field.

Sourav has experience and exposure in working with a variety of Artificial Intelligence, Data Science and Big Data related technologies such as Watson Open Scale, Watson Natural Language Processing, Watson Machine Learning, IBM Cloud Pak for Data, Spark, Hadoop, BigSQL, HBase, MongoDb, Solr, System ML, Cognos, R, Python, Scala/Java and using them in projects involving phases from creation of Minimum Viable Product to Productionization at an enterprise level. Sourav is an Open Source enthusiast and contributes to Open Source regularly.

Sourav holds patents in the Data and AI space (patent profile https://patents.justia.com/search?q=Sourav+Mazumder). 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 (https://www.researchgate.net/profile/Sourav-Mazumder). Sourav is regularly invited to speak in various Industry conferences, like Open Data Science Conference, Spark Summit, IBM Think, Global AI Conference, etc in this subject area. He can be found on Linkedin (https://www.linkedin.com/in/souravmazumder/)

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