AI and data science are all around but in many use cases they’re not enough since they provide insight and forecast but not the "what should we do next?".
That is the purpose of decision optimization aka prescriptive analytics or operations research. We'll start from zero with tiny examples and then give real use cases where decision optimization alone or with machine learning achieved great return on investment. The opportunity cost is what all businesses lose not using optimization and we'll see, that's huge
Alex Fleischer is an Optimization Expert at IBM in EMEA. His expertise is in computer science, mathematics, artificial intelligence and Optimization. He has recently been involved in several projects with financial institutions in Europe including commercial banks, securities companies and central banks.
He graduated from Sup Aéro in 1996 with a degree in aerospace engineering, in mathematics and in artificial intelligence. 3 years in IT and then 20 in Analytics, as a consultant, an optimization engineer, a quality manager and a technical account manager convinced Alex that Analytics in general and Optimization in particular lead to huge return on investment whatever the business field, energy, finance, healthcare … simply do more with less
Alex is passionate in making his customers understand and then benefit from Analytics.
Alex is very proud of his three kids and his lovely wife. He enjoys mathematical puzzles and good books. He also likes traveling and has visited 44 countries.