Leveraging Artificial Intelligence and Machine Learning to Drive Data Visibility and Smarter Decision Making
Panelists will discuss how software enables AI/ML models which can continuously learn and improve, allows terminals to run predictive experiments and supports the streaming of real-time IoT devices to improve day-to-day operations.
In this webinar, "Leveraging Artificial Intelligence and Machine Learning to Drive Data Visibility and Smarter Decision Making," hosted by TOC Digital and sponsored by Navis, you'll learn:
- Digitizing and optimizing berth plans for lower operational costs and improved collaboration with stakeholders
- Monitoring terminal operations with digital twins and real-time KPI dashboards, enabling decision-makers to identify potential bottlenecks in order to make corrective actions quickly
- Equipment deployment recommendations for more cost-effective asset utilization
About our Presenters:
Aslm El-Gharabawy, Data Scientist
Based in Rotterdam, Aslm El-Gharabawy has a background in Aerospace Engineering and studied (Bachelors and Masters) Aerospace Engineering at Delft University of Technology. He has worked in several engineering, consultancy and data science roles for the Aerospace, IT/Web Development, AI/ML and Container Terminal domains. Aslm joined Navis in May 2016 and is currently working as a Data Scientist on the Navis AI Platform initiative, aimed at leveraging the data value of our software portfolio and of the container terminal industry.
Patrick Brehmer, Sr. Manager Applied Innovation, Navis
Patrick Brehmer has been with Navis for 3 years. As the Sr. Manager for Applied Innovation, Patrick heads the Navis Labs team in Rotterdam. This team is focussed on discovering, conceptualizing, developing and piloting new offerings - introducing a customer-centric approach to new product development at Navis. Prior to joining Navis, Patrick worked for APM Terminals Maasvlakte II, one of the latest and fully automated container terminals in the world, focusing on the waterside operation.
Meena Shah, Sales Engineer
Meena Shah is a Sales Engineer at Navis focusing on brownfield retrofit automation and optimization. She has over a decade of experience developing software solutions for both automated and conventional terminals. She holds a BS in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and a MS in Computer Science from the California State University East Bay.