We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Global Leaders Discuss Big Data Implications for the Auto Industry
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Global Leaders Discuss Big Data Implications for the Auto Industry
AnalyticsBig Data

Global Leaders Discuss Big Data Implications for the Auto Industry

Roman Vladimirov
Roman Vladimirov
4 Min Read
Global Leaders Discuss Big Data Implications for the Auto Industry
Illustration generated with Qwen Image.
SHARE

When considering the uses and implications of big data, security and privacy are always top concerns for businesses as well as consumers. Most people are aware that their computers and handheld devices transmit data about their activity, but they might not think twice about what their cars are up to.

When considering the uses and implications of big data, security and privacy are always top concerns for businesses as well as consumers. Most people are aware that their computers and handheld devices transmit data about their activity, but they might not think twice about what their cars are up to. However, many newer automobiles are able to collect and share information thanks to advanced technology under the hood. The CEO of Volkswagen, Martin Winterkorn, recently spoke out about the need to protect consumer privacy before automotive data analysis gets out of hand at the CeBIT information technology trade fair in Hanover, Germany.

Determining the privacy needs of automotive big data
So many processes are already automated within cars – such as seat belt warnings, lane departure warnings and brake assist – and the future looks bright for more automation. For this reason, Winterkorn suggested that industry leaders and legal experts will need to develop policies that focus on both the need for information collection as well as the protection of drivers to determine what data can and should be monitored and what may be too invasive.

“Our cars are already mobile computer centers, with 1.5 km of cables, more than 50 control units and the computing power of 20 highly advanced PCs,” Winterkorn said at the convention, according to Forbes. “Now we face the considerable challenge of making mobility even more intelligent and more networked together with the IT industry.”

More Read

data migration salesforce
Data Migration Salesforce: What is it and How Does it Help?
Three Ways Big Data Is Revamping Manufacturing Processes
NSA and the Future of Big Data
Network and Application Performance in Cloud
Analytics Moves To The Core: Reporting from the Gartner Summit

The major issues brought up by the VW CEO focused on what would be done with the collected information in terms of ownership, visibility and sharing said data with others, The Financial Times reported. As technology advances, more vehicles are equipped with smart technology such as self-driving capabilities and infotainment systems that can collect and share information about a vehicle’s driving record as well as the driver’s GPS location, media usage and other data.

Leaders call for big data infrastructure
Winterkorn was not the only leader at the trade fair to place value on this burgeoning sector of IT. German Chancellor Angela Merkel pointed out that there needs to be “an underlying order” of legality surrounding big data collection and use that extends beyond national borders, according to IDG News Service. Other leaders, like Dieter Kempf, president of the German Association for Information Technology, emphasized the need to examine the approach to big data as well as how it is handled.

“We have to wonder whether the approach to data protection that strives to limit collection of personal data can apply in the digital world,” Kempf said, the news source indicated.

TAGGED:automotive industrydata privacy
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article’s core relationship is a transfer of discipline from regulated laboratories to analytics
What Business Intelligence Teams Can Learn from Lab Data Governance
Business Intelligence Exclusive
Flat editorial illustration: A guaranteed reward can raise participation while skewing the respondent pool toward active customer
Incentive-Driven Response Bias: Auditing Sample Composition Before You Trust Survey Data
Big Data Data Quality Exclusive
Flat editorial illustration: The article’s core relationship is observable blockchain activity becoming a trustworthy business me
Blockchain Dashboards Need Better Definitions, Not More Charts
Blockchain Exclusive
Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Data Privacy Advocates Must Avoid GDPR Complacency at All Costs
Big DataData ManagementExclusivePolicy and GovernancePrivacyRisk Management

Data Privacy Advocates Must Avoid GDPR Complacency at All Costs

5 Min Read
AI and Analytics Importance in Automotive Industry
Artificial Intelligence

AI and Analytics Importance in Automotive Industry

6 Min Read
Net Neutrality
Big DataData ManagementIT

Does Congress’s Net Neutrality Repeal Threaten Trust in Big Data?

6 Min Read
What does Google know about you?
Data MiningExclusive

What does Google know about you?

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?