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Thursday, Jan 07 @ 9:30 PM


The automotive industry is one of the oldest industries of the modern world, but it’s much more than just making cars. Because mobility is a part of our everyday lives, companies in this industry have a huge reach and massive impact on society. Every single business function from manufacturing to mobile application development exists within the automotive industry.
In this webinar, Lead Data Scientist at Ford Michael Crabtree will review a wide variety of data science use cases that will inspire you to challenge ideas in an old industry with new inventive ways to shape the future of manufacturing and mobility. You will learn how automotive companies manage to scale data science applications on everything from small-sized data to hundred-billion row intelligent connected vehicle systems. You’ll also learn more about applying data science use cases in a human-centric fashion to have a lasting impact on society at large.
This webinar is for data scientists of all levels looking to change their viewpoint on old industries and create the future by leveraging machine learning and AI in creative new ways.


– What is the breadth and depth of data science use cases in the automotive industry?
– Implementing scalable data science solutions in the automotive industry has far-reaching societal impacts.
– How the lasting impacts of data science influence a changing industry with strong personal connections to its customer base.


Adel Nehme
Data Evangelist at DataCamp
Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

Michael Crabtree
Lead Data Scientist at Ford Motor Company
Michael Crabtree is a lead data scientist at Ford Motor Company. He leverages machine learning techniques and business acumen for all regions across the globe. While his current role involves app analytics, his previous work includes business areas such as manufacturing, product development, sales, finance, and customer analytics. His passion for technology and machine learning spans all areas of research, including recent ventures into quantum computing

Webinar/Workshop organized by: Data Camp

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