According to Gartner, in 2023 the automotive industry will comprise 53% of the entire 5G IoT endpoint opportunity, out of which 39% of opportunities will come from connected cars.1 Such statistics indicate the transformation that the automotive industry is on the cusp of, where the Cloud, as enabler, presents exciting opportunities.2
As the industry designs data-driven automobiles that leverage AI/ML and intuitive interfaces, it enhances user experience and opens new channels for businesses to create value. Additionally, it also makes a case for – Connected Vehicles, Autonomous Driving, Shared Mobility, and Electrification – thereby driving innovation. Here’s how.
Given how such vehicles will proliferate, data collation in the Cloud can only better the understanding of all the stakeholders regarding their customers, key drivers for purchases, how best to personalize services, and the factors that will drive revenues and ensure better value to be derived from the vehicle. Such understanding will direct significant gains to all the stakeholders in the automotive industry.
OEMs: They can drive digital-first and digital-enabled services and improve their knowledge about the mobility ecosystem through the life of vehicle. In addition, OEMs can study and investigate patterns around vehicle usage and leverage data collection in the Cloud to get better insights into customers, vehicle pre-purchases and condition of vehicles throughout lifecycles.
Dealers: Incentivizing the Cloud will help control critical costs, eliminate confusion and enable accurate, consistent tracking of incentives. By harnessing advanced AI/ML tools, they can understand patterns in past rebates and apply these effectively as well as check overspending.
Suppliers: Cloud-based solutions help reduce development & validation costs through virtualization & simulation. They can allow suppliers to seamlessly exchange data to & from OEM. Going a step further, they can improve uptime, reduce in-warranty failures, and repair costs through monitoring of components.
Vehicle owners: Favourable experiences with smartphones and the digital world, along with the desire for enhanced benefits, customized services, secure vehicles, and optimal IVI experiences will drive Cloud adoption.
Experience and Expertise
KPIT with over two decades’ experience as software integrator and considerable expertise on the vehicle-side has not only emerged as a focused automotive player but also proved its full-scale digital capabilities with robust innovations in AUTOSAR, Powertrain4 , Diagnostics, Conventional and Electric Vehicles. It has not only built and delivered Cloud-based connected vehicle solutions5 for the AD/ADAS scenarios6 but also developed validation through virtualization7 and connected vehicle scenarios.
Strong Partner Networks
The process of cultivating talent and enhancing skillsets in-house has been supplemented by overarching partnerships with Amazon, Microsoft, Google to leverage Cloud technologies, AI, ML and Analytics. As member of the Microsoft Partnership Network, three of KPITs Cloud solutions– Over-the-Air Updates, Predictive Maintenance RUL, and the Asset Management Platform have been certified by Microsoft as “Co-sell ready” and published on the Azure Marketplace.
End-to-end Provision for Cybersecurity
One of the key focus areas for KPIT is security from Vehicle-to-Cloud. Be it delivering secure software updates over-the-air or maintaining compliance with regulatory norms; be it protecting user data or ensuring safety from the AD perspective; KPIT adheres to established standards and protocols to ensure all solutions stay compliant with required security standards.
KPIT’s next-generation OTA solution for the full vehicle, On-board and Cloud, is secure and efficient. Its in- vehicle software components including the Bootloader and smaller ECUs based on Classic AUTOSAR or POSIX operator have proven competence. With its DPDU Library in series production with European OEMs, other OTA components in series production with various passenger car OEMs, and Cloud catering to Asian commercial vehicles markets, KPIT is set to transform the mobility ecosystem.
The Remaining Useful Life (RUL) is an important factor indicates the remaining vitality of any component. KPIT’s model for predicting component RUL utilizes a custom Deep Learning Architecture and can be employed on embedded as well as Cloud platforms. KPIT’s solution has ready application for RUL prediction of EV Battery, Battery Usage, Engine Oil, Spark Plug, Brake Pads and Fluid etc.
For instance, KPIT’s Cloud-based AI/ML-driven program analyses the data collected from the BMS for temperature, usage patterns, charge status to help predict battery failures and prognosticate RUL.
KPIT’s Integrated Asset Management Platform is a baseline set of capabilities that enable a connected vehicle solution or a fleet management solution. It includes features related to Tracking, Journey Risk Management, Driver Behavior, Vehicle Health Monitoring, DTC Management, EV Charging Management and Fuel Efficiency. The Platform currently has 6+ OEM deployment over Microsoft Azure, AWS, and Google Cloud, and handles 55+ TB contents of data per month.
Going beyond ready solutions, KPIT also has considerable experience managing and operating Cloud solutions. It provides several services across the entire application lifecycle from the day-to-day management of the Cloud to the customer interface and everything that comes in between.
KPIT’s expertise is well-known when it comes to the development and design phase, whether it is the Migration of solutions to Cloud or Building new solutions. Being a software integration partner, it also works on Integration of multiple systems or enterprise solutions, as well as with third-party solutions or APIs. It provides full cycle Validation, including everything from validation of IVI going on to the app. With our experience, we understand the Optimization required to ensure that as the business and volume of vehicles on Cloud grows, the costs stay within control, and the reliability of performance remains unaffected.
The KPIT team has the skills to do day-to-day Management, Monitoring, and Operations while ensuring the Security across the lifecycle in terms of state-of-the-art Cybersecurity, Data Privacy & Anonymization.
KPIT’s platforms form their baseline set of capabilities that drive their solutions. They understand the need to test on-scale without incurring high costs or investing more effort and hardware by resorting to ECU virtualization and Diagnostic Capabilities. Hence, many of these ready solutions hold promise for OEMs. In this regard, KPIT has emerged a frontrunner. Not only are they managing and operating Cloud-based solutions but also driving innovation through fundamental enabling technologies. With end-to-end expertise in the automotive domain and as software integrator, KPIT is equipped to become the partner OEMs seek. Be it the development and design phase, migration of existing solutions to the Cloud, devising new solutions or ensuring smooth integration — with multiple solutions/enterprise systems or third-party systems — KPIT has it covered.
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3. https://www.mckinsey.com/~/media/McKinsey/Industries/Automotive%20and%20Assembly/Our%20Insights/The%20future%20of%20m obility%20is%20at%20our%20doorstep/The-future-of-mobility-is-at-our-doorstep.ashx
Head, Cloud and Data Science, Digital Connected Solutions
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KPIT Technologies is a global partner to the automotive and mobility ecosystem for making software-defined vehicles a reality. It is a leading independent software development and integration partner helping mobility leapfrog towards a clean, smart, and safe future. With 9000+ automobelievers across the globe specializing in embedded software, AI, and digital solutions, KPIT accelerates its clients’ implementation of next-generation technologies for the future mobility roadmap. With engineering centers in Europe, the USA, Japan, China, Thailand, and India, KPIT works with leaders in automotive and mobility and is present where the ecosystem is transforming.
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