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In this webcast, Alexander Petrov and Ricardo Balduino will discuss the applications of Natural Language Processing (NLP) and Machine Learning (ML) in risk controls management for financial institutions and insurance companies.
We will cover the typical use cases and the approaches the Data Science Elite (DSE) team used to address the challenges in risk controls rationalization using ML and NLP. This session will also introduce the Cognitive Risk Controls accelerator that was developed based on the experience of the DSE team.
Alexander Petrov is a manager/senior software architect with Data Science Elite team (IBM Data and AI) where he specializes in Analytics platforms, Big Data, and Machine Learning solutions.
Over the years, he has delivered Analytics products that contain the implementation of ETL engine, machine learning (clustering, classification, rules application using Rete engine), NLP, data visualization, and distributed machine learning algorithms implementation.
Alexander has more than 20 years of industry experience working as a data scientist, software architect, manager, and consultant on creating software products and developing new technologies.
Ricardo Balduino is a Data Scientist with the IBM Data Science Elite Team and has 25 years of experience in diverse roles such as software developer, consultant, educator, process engineer, release manager, team lead, solutions architect, and data scientist.
He works with organizations in different industries helping them understand and use their data to improve their businesses and create a positive impact for society.
Ricardo has written many technical articles and presented at several technical events globally. He holds a M.S. in Software Engineering from San Jose State University in California.