Dr. Radhika Kulkarni retired from SAS in 2018 as Vice President of Advanced Analytics R&D. She currently freelances as an analytics and artificial intelligence advocate for universities and organizations. When at SAS, Radhika oversaw software development in many analytical areas including Statistics, Operations Research, Econometrics, Forecasting and Data Mining. In her role as an OR expert at SAS Institute, Kulkarni was influential in driving the recognition of Operations Research as a key component of business analytics solutions in several areas including Finance, Retail, Marketing, Hospitality and Supply Chain. Radhika has a Master’s in Mathematics from the Indian Institute of Technology, New Delhi and a Master’s and Ph.D in Operations Research from Cornell University.
I am often asked to describe my career as a woman in analytics and provide some insights to guide women who wish to be part of this field and to succeed as leaders in the profession. I have divided my comments on women in analytics into sections, starting from the beginning,
A year ago I set out to periodically blog from my perspective of leading R&D for our advanced analytics software. I invited SAS colleagues who also work in various areas of advanced analytics to blog on their own interesting conversations with each other and with customers about the intersection of
I can’t believe all that has happened in the 7 months since I last blogged about high-performance analytics, so I’m back to give you some updates from SAS R&D. The energy around this area keeps growing as more of our developers adopt the new high-performance architecture and target their developments
Rome was not built in a day. Similarly, high-performance analytics is a product of many cumulative architectural, computational and analytical advances. The ability to solve complex business problems by applying algorithms from multiple disciplines to increasingly large volumes of data of all types - both structured and unstructured - is
