Vehicle Big Data

 

   

The Big Data revolution is at the forefront of the latest advancements in IT technology that have brought to us real-time social media, internet searching, as well as multiple innovations in a wide variety of industry sectors ranging from retail, banking, healthcare, etc., to Government and homeland security. The Automotive industry is not the exception.  Big Data technologies enable automotive companies leverage new sources of data already available from the manufacturing process, all the way down the chain to the comments entered by the end customer who purchased an automobile at her or her Facebook page.  All the information collected along this process can be analyzed and cross referenced using Big Data technologies to reduce manufacturing costs, improve quality, provide accurate troubleshooting and preventive maintenance, warranty and recall analysis, and many more.

  

Moderators will assist in the discussion on the different uses of Big Data, from mission critical use for production and performance to data mining for use in business decision-making processes and demographic analysis. In this workshop we will discuss what the data is, how it is collected and managed, identify examples of using, analyzing and shapping data for competitive comparisons, to determine production needs, as well as examples from the automotiv, insurance and fleet industries.

  

 

CVTA Members and invited guests, including OEMs, data companies, and device suppliers.  Pre-registration is required via the registration form below which is available for download.

   

   

CVTA Members, Invited Guests and OEMs – no cost.  Other Registrants: $25

 

   

Format:
 
Attendees will be seated at roundtables of 8-10.  Our four key discussion topics will be briefly introduced.  Moderators at each roundtable will facilitate group conversation and report out the results for their table at the end of each roundtable discussion.  CVTA will email a summary to the participants after the workshop.  
 
Agenda

Welcome and Introductions

 

Topic One – An overview of Data and how its generated and acquired (Shig Hiura - Oracle) What is Big Data and what makes it unique? What creates them and what forms do they take? What is Big Data’s value and how do I acquire it?

–        Introduction (10 minutes)
–        Roundtable Discussion (30 minutes)
–        Readout of table points (10 minutes)

Topic Two – Managing the Data (Shig Hiura - Oracle) Big Data amplifies existing data management challenges and also introduces new ones.  Here we explore these challenges and various approaches to address them.

–        Introduction (10 minutes)
–        Roundtable Discussion (30 minutes)
–        Readout of table points (10 minutes)

Break (20 minutes)

Topic Three – Shaping the data – Extracting useful knowledge (Mike Gingell - Polk) Once the data is harvested and in a manageable form, how do you extract useful knowledge, and what collateral knowledge can be gleaned?
–        Introduction (10 minutes)
–        Roundtable Discussion (30 minutes)
–        Readout of table points (10 minutes)

Topic Four – Using the data and knowledge (Elaina Farnsworth - Mobile Comply) Useful information can be used in many ways, and not necessarily just has readable reports.  How data and knowledge can be combined with other data, used to feed other decision support systems, and create new knowledge will be explored.   
–        Introduction (10 minutes)
–        Roundtable Discussion (30 minutes)
–        Readout of table points (10 minutes)

Roundtable – participant feedback and final comments (20 minutes)

 

For further information contact:

 

Scott J. McCormick, President

Connected Vehicle Trade Association

Ofc: 734.354.0546