Abstract: Impending open banking regulations and increasing competition has forced large banks to go through perhaps the largest transformation program in decades. Data and innovative applications of Machine Learning lies at the heart of this transformation. There are many success stories and many more challenges. Careful analysis of these dimensions holds the key to successful delivery of these HUGE transformation programs.
Kanishka plans to discuss the broader premise, some challenges and some clever applications of ML to drive such changes.
Bio: Kanishka has extensive experience in using data science driven approaches to solve complex business problems. He has led data driven digital transformation projects for clients in Financial Services, Retail, Manufacturing, Telco and Government. Prior to joining Publicis.Sapient, Kanishka has worked in Management & Technology consulting, hedge funds, a technology start-up and spent ~10 years teaching Statistics at Oxford University. His academic research focussed on computationally efficient algorithms to analyse large scale genomic datasets.