Implementing data science tools in your business can be tricky. How do you choose the best techniques? Which steps are part of the process? And who do you need to involve in the project? Wouter Verbeke, Associate Professor of Data Science at KU Leuven and experienced expert on the subject, shares best practices for a successful implementation.
00:49 - How ready are businesses to incorporate innovative AI? And are there big differences between their readiness?
02:55 - 3 stages to incorporating data science tools in businesses
03:31 - Stage 1: understanding the problem
04:50 - Stage 2: developing the solution
06:56 - Stage 3: evaluating the solution
08:57 - What does a company need for this process to be successful?
BiographyProfessor Wouter Verbeke, Ph.D., is associate professor of data analytics at KU Leuven. He graduated in 2007 as a Civil Engineer and obtained a Ph.D. in applied economics at KU Leuven in 2012. His research is situated in the field of prescriptive and profit-driven analytics and is driven by real-life business applications in fraud, customer relationship, credit risk, supply chain, and human resources management.
Ioana is a consultant in the Solver team. There, she primarily works on the advanced S&OP solver and collaborates closely with project teams to ensure customers get the most out of OMP’s vast solver offering. She is passionate about mathematics and dislikes writing her own biography.