Decision Optimization and Machine Learning: Complementary Techniques for an AI-Driven Future
As companies wake up to the potential of AI applications, data science and machine learning techniques are increasingly seen as fundamental to drive this growth. While data science technologies like predictive analytics continue to drive innovation across enterprises, machine learning techniques are instrumental to scaling data science for businesses.
From the field of medical research to self-driving cars and from personal assistants to product recommendation engines, we see the impact of machine learning all around us. The role of decision optimization technology in fueling the success of machine learning deserves special mention. Decision optimization technology uses advanced mathematical and artificial intelligence techniques to solve decision-making problems that involve millions of decision variables, business constraints, and trade-offs.