The automotive industry is no longer confined to the realms of wheels and engines; it has evolved into a dynamic network of computing power, artificial intelligence (AI), data, and security. As vehicles increasingly become network nodes, the integration of emerging technologies is reshaping the future of mobility, paving the way for sustainable, connected, and autonomous transportation systems.
Data-Driven Era
Speaking to Mobility Outlook, Pavan Choudhary, Practice Lead – Future Mobility at Fujitsu Consulting India, emphasises that the sheer complexity of codes written for modern vehicles is defining the future of transportation. According to him, the convergence of AI and machine learning (ML) technologies is crucial to achieving sustainable mobility and driverless vehicles. However, the challenges vary across geographies, encompassing driving behaviour, regulatory frameworks, geopolitical scenarios, and infrastructure disparities.
Every vehicle today interacts with an extensive ecosystem, from mobile phones to signal systems. These interactions generate vast amounts of data, which need to be processed and segregated for diverse stakeholders, including governments, OEMs, pedestrians, and highway users. Choudhary highlights the need for advanced algorithms and secure communication to manage this data, ensuring passenger and vehicle safety while facilitating real-time decision-making.
Fujitsu’s Role In Shaping Future Mobility
Fujitsu, with over five decades of experience in the automotive industry, collaborates with leading Japanese and European OEMs to provide cutting-edge solutions. Its expertise spans vehicle security, AI, and ML, with a focus on delivering digital rehearsals for both vehicles and infrastructure. These digital simulations aid in managing traffic disruptions, routing heavy vehicles, and enhancing emergency responses during natural or man-made calamities.
Choudhary also points to the company’s ability to support the development of next-generation fuel cell technologies. While the optimal fuel mix remains a work in progress, Fujitsu’s tech-driven solutions aim to address challenges in replicating the convenience of internal combustion engine (ICE) vehicles.
Compute Power
Enhanced computing power is central to vehicle functions such as advanced driver assistance systems (ADAS), autonomous driving, infotainment, and smart dashboards. Choudhary notes that hybrid ecosystems combining in-vehicle computing and cloud-based functions are essential for ensuring safety and efficiency. Fujitsu’s Over-The-Air (OTA) services deliver secure updates for vehicle components, much like smartphone updates, ensuring systems remain robust against emerging vulnerabilities.
The company’s multilingual, geographically diverse workforce, coupled with its mature delivery centres, enables it to provide 24/7 support for testing and maintaining these connected ecosystems. He also highlights Fujitsu’s Autosar-certified professionals and industry-academia collaborations, ensuring the company remains at the forefront of innovation.
AI In Predictive Maintenance
Artificial intelligence is revolutionising vehicle maintenance through predictive diagnostics. Choudhary explains that AI-powered solutions, already deployed in earth-moving equipment, can foresee potential failures by analysing past data and identifying anomalies before they escalate. This technology minimises downtime, improves reliability, and optimises operational costs. While passenger vehicles and commercial equipment differ significantly, the potential of predictive maintenance extends across diverse mobility ecosystems.
The Road Ahead
The automotive industry is on the cusp of a paradigm shift, driven by converging technologies that blend AI, IoT, and advanced computing. Fujitsu’s approach, combining its legacy in automotive solutions with forward-thinking strategies, positions it as a key player in the transformation of mobility. By enabling secure, efficient, and sustainable travel, the company is not just keeping pace with the future—it is helping define it, he adds.
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