The Data Scientist Show - Daliana Liu
Data science in transportation, the intersection of operations research and ML - Holger Teichgraeber - The Data Scientist Show #063
Jun 26, 2023
46:53
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Quick takeaways
- Data science and operations research are interconnected fields that have been merging, especially in the energy domain, where data scientists can leverage optimization techniques to deliver insights and actionable solutions for decision-makers in energy systems.
- In the context of logistics and transportation, data scientists focus on predictive analytics and optimization modeling to match shippers with truckers, optimize routes, and minimize costs and emissions, demonstrating the valuable role of data-driven decision-making in the industry.
Deep dives
Opportunities in the Transformation of Transportation and Energy Sectors
The transportation and energy sectors are undergoing significant transformations, with a growing number of electric vehicles (EVs) leading to shifts in the automotive industry. This transformation presents opportunities for digitalization and data-driven decision-making. Data scientists are becoming increasingly valuable in these sectors where they can leverage data to drive insights and optimizations. The intersection of machine learning and optimization plays a crucial role in solving complex problems in energy systems, logistics, and urban air mobility. There is a need for data scientists to support strategic decision-making, infrastructure planning, and efficient routing in these domains.
