RADHIKA KULKARNI
VP, Advanced Analytics R&D
SAS Institute Inc.
Machine Learning, Artificial Intelligence and Optimization: Opportunities for Inter-Disciplinary Innovation
Machine learning tools and AI platforms have become prolific in many industries. Applications range from health care to financial applications to manufacturing industries. In the world of big data and ML / AI tools, there are numerous opportunities for application of optimization techniques. Large scale implementation of machine learning tools in artificial intelligence platforms require automation at several levels – increasing productivity along the entire analytics lifecycle as well as automated model selection to improve predictive models. In many of these problems, optimization techniques play an important role in finding solutions as well as improving performance.
This presentation will provide several examples that describe some of these innovations in various industries as well as discuss trends and upcoming challenges for future research.
Machine learning tools and AI platforms have become prolific in many industries. Applications range from health care to financial applications to manufacturing industries. In the world of big data and ML / AI tools, there are numerous opportunities for application of optimization techniques. Large scale implementation of machine learning tools in artificial intelligence platforms require automation at several levels – increasing productivity along the entire analytics lifecycle as well as automated model selection to improve predictive models. In many of these problems, optimization techniques play an important role in finding solutions as well as improving performance.
This presentation will provide several examples that describe some of these innovations in various industries as well as discuss trends and upcoming challenges for future research.