automotive industry

Data Habit 1—Create a Data Strategy

Posted by Barry Hutt on Mar 29, 2021 9:54:09 AM

This is post 2 in the series on 'The 7 Data Habits of Highly Effective Product Companies'. Tune in to our LIVE WEBINAR '7 Data Habits of Successful Product Companies' - MARCH 31, 11 a.m. CDTRegister Now

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Topics: Engineering Data, Big Data, automotive industry, Sensor Data, aerospace, Sensor Data Management, webinar, Edge Computing, Intelligent Data handling

Accelerating Big Data Analysis—Data Cleansing & Standardization Strategy

Posted by Dr. Fanqi Meng on Mar 5, 2021 8:55:14 AM

Traditionally, the data cleansing is defined as the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

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Topics: Engineering Data, automotive industry, Autonomous Vehicles, Sensor Data, Machine Learning, ADAS, Sensor Data Management, Factory 4.0

Product Verification Accelerating Innovation - Webinar

Posted by Patricia Friar on Feb 18, 2020 5:34:52 PM

There’s a rumble in the Automotive Industry. A survey of automotive industries stakeholders, conducted by Jabil, showed that automotive companies are shortening product development timelines to meet new market requirements. The automotive industry has undergone a number of industry-shifting developments over the past several years. The introduction of electric vehicles and the continued development of ADAS technologies are leading these transformations. We’ve seen new challengers in the automotive industry popping up, and rapid innovation within leading automotive companies.

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Topics: Analytics, automotive industry, ADAS, Hybrid Cars, Electric Cars, simulation, webinar