Rafael Velásquez

Senior Consultant, Logistics Division

Rafael Velásquez holds a PhD in Mathematical Optimization from the Technical University of Kaiserslautern. He has worked in Optimization Projects over the last 14 years within the Research and IT sector. He joined INFORM in 2008 with focus on promoting optimization solutions in the Container Terminal industry. Since 2012 he is leading the Port Optimization projects at INFORM’s Logistic Division.


AI/Machine Learning: From Concept to Real Results
18th May 2021, 5:45PM – 6:30PM GMT
AI & Machine learning have come a long way in the past few years and has quickly become the silver bullet to extracting value from previously under processed and underutilised operational data. This session will review successful case studies and look at how the technologies can be deployed in the future to yield even greater value.

• How is AI/machine learning already being used in Port Terminals? What are the latest breakthroughs?
• How can machine learning use your data to find correlations and actionable intelligence to create future situational awareness?
• How to use a combination of AI and machine learning to create a data driven approach to Terminal Management and planning, will non-adopters fall behind?