ENTERPRISE IT
Massive amounts of data moving between vehicles and cloud-based systems will only trend upward with autonomous vehicles , says Blackberry , as machine learning ( ML ) algorithms running in the vehicle are trained using big data sets via associated processing power in the cloud . Software-defined vehicles could generate between one to two terabytes of data on an average day of driving – highlighting the need to harness the power of the cloud .
collectively account for 60 % of the value of a future self-driving car .
As vehicles transform to software-led , consumers are likely to purchase cars less frequently – instead choosing to pay for software upgrades over time .
“ The traditional automotive OEMs have realised the value of cloud services and the need to invest in the radical modernisation
of outdated and inefficient electrical / electronic platforms ,” Krokosz says . “ Due to the electrification of the car industry , vehicle manufacturing will be simpler and costs will drop significantly – ultimately driving down vehicle prices . While this means lower margins on car sales , new revenues are expected to come from the digital services .”
“ SaaS solutions also understand how vehicles are used and keep track of data about them over their entire lives to maintain and improve vehicle quality , thereby optimising engineering and production , identifying problems and lowering maintenance costs ,” adds Prakash .
Need for cybersecurity will be paramount in an autonomous future As McKinsey points out , a selection of top automakers have already experienced wellpublicised security breaches . Hackers have proved their ability to access locks , brake systems , and dashboard displays remotely
100 November 2022