BADA – Big Automotive Data Analytics
Abstract
The BADA project fuses big data analytics with the automotive industry in Sweden. It is a collaboration between RISE SICS, Volvo cars, Volvo trucks, Scania, and the Swedish Transport Agency. The goal of the project is to help the Swedish automotive industry to adopt Big Data technologies (Big Data platforms and tools) for data driven analytics and machine learning. We investigate how big data analytics platforms and machine learning algorithms can impact the transport and automotive industries. The approach is centred on a number of industry driven use-cases and the development of prototype systems. The project ended in 2018. In this talk, I give an overview of the project highlighting some of the results and lessons learned.
Bio
Dr. Ahmad Al-Shishtawy is a senior researcher at RISE Research Institutes of Sweden. He received his PhD from KTH Royal Institute of Technology, Stockholm 2012. Research challenges that inspire him include applying multidisciplinary state-of-the-art research to solve high impact problems in industry and society. His research interests include, Large-Scale Distributed Systems and Algorithms; Big Data/Streaming Analytics; Cloud/Edge-Computing; Elasticity and Autonomic Computing.
Date: 2019-Feb-28 Time: 15:00:00 Room: 336
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