RESEARCH CONTENT:
Advances in technology have led to safety and comfort features being added to vehicles, with ambitious plans for driverless cars and other connected and autonomous vehicle (CAV) systems being developed. This article looks at some of the requirements, constraints and challenges, including two areas of uncertainty: data and software updates.
RESEARCH CONTENT:
Existing attacks and risk assessment frameworks within civilian autonomous vehicles (AVs) can be used to review security of military AVs deployed for logistics purposes in a desert warzone environment.
EZINE:
In this week's Computer Weekly, we look at Gartner's call to innovate – and innovation across retail, the circular economy and the automotive sector. We talk to Verastar's CTO about customer engagement in its small business services. And we examine how poor data quality is frustrating corporate desires to be data-driven. Read the issue now.
WHITE PAPER:
This paper examines the major considerations manufacturers looking to add, upgrade of replace Enterprise Resource Planning (ERP) software should be aware of. By being cognizant of these aspects you'll ensure that you'll be able to select a solution that best fits your needs, both now and in the future.
WHITE PAPER:
Learn from this IBM study how new strategies, transformed processes and next generation technology can minimize the challenges and reduce complexity.
CASE STUDY:
Evaluation tests from BMW revealed that by integrating Intel® Active Management Technology, BMW could significantly increase its remote management capabilities and further strengthen security.
CASE STUDY:
Learn how Continental AG, one of the world's leading suppliers to the automobile industry, migrated its server computer to Microsoft Windows Server 2003 and its 24,000 client computer to Windows XP Professional.
WHITE PAPER:
Automotive manufacturers and suppliers view China as the largest combination of automotive market and low-cost manufacturing and supply base to appear in decades.
CASE STUDY:
Group 1 Software presents a case study in enterprise data quality success featuring the DaimlerChrysler Corporation, a leader in the automotive manufacturing industry.
