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As automotive OEMs pursue the latest trends in connected mobility, they are confronted with a multitude of challenges. The onslaught of data from connected vehicles necessitates scalable, secure cloud infrastructures and edge analytics that can handle resource constraints.
OEMs must also standardize and manage vehicle data, ensure compliance with emerging regulations, and protect sensitive customer information.
Data Overwhelm
With the increasing number of sensors and ECUs in modern vehicles, automotive manufacturers are struggling to manage and process the vast amounts of data generated.
Data Silos and Lack of Interoperability
Data is often siloed across different vehicle domains, making it difficult to gain a holistic view of vehicle performance.​
Cybersecurity Risks
With the increasing connectivity of vehicles, cybersecurity risks are becoming a major concern.
Compliance with Regulatory Requirements
Automotive manufacturers must comply with various regulatory requirements, such as WP.29, which mandates the use of advanced safety features.
Cloud-native solutions to super-charge digitized & connected mobility roadmaps.
By embracing cloud-enabled solutions, the automotive industry can accelerate innovation, improve efficiency, and deliver enhanced customer experiences.
Partnerships
With leading Cloud solution providers including MS Azure, AWS, Google Cloud.
Competencies
Ready pool of certified talent with Cloud Development, DevOps, Cloud Management, Validation skills.
Data Engineering, Big Data & AI/ML skills for cloud scale Analytics.
Offerings
Ready Industry-tailored cloud solutions in Connected Vehicles, Autonomous Driving, Vehicle Diagnostics.
Certified solutions published on multiple cloud marketplaces.
Vehicle-Cloud integration expertise
TCU-to-Cloud & Cloud-to-Cloud Integration
Cloud IoT Platforms.
Domain relevant analytics and ML models
Cloud based Vehicle Predictive Maintenance & Guided Diagnostics.
ML Models
Driver, Vehicle & Route insights.
Revolutionize Vehicle Connectivity at the Edge: Drive Efficiency, Security, and Innovation.
Edge computing revolutionizes vehicle connectivity by enhancing speed, efficiency, security, and innovation. Processing data within the vehicle enables faster responses, optimized data usage, improved security, and the development of new vehicle features.
Empowered Data Ownership
Edge analytics ensures data stays close to its source, granting full control and customization over their data, and enhancing autonomy and security.
Enhanced Privacy Assurance
Mitigate privacy risks by processing data locally, reducing exposure and ensuring compliance with stringent data protection regulations.
Optimized Data Transmission, Maximized Savings
Edge analytics minimizes data transmission to the cloud, slashing telemetry costs and optimizing storage usage, leading to substantial financial savings.
Turning Data Management into Strategic Advantage.
Effective data management is the key to unlocking vehicle insights, ensuring data security, and accelerating innovation. By transforming raw data into actionable intelligence, you can enhance vehicle performance, optimize operations, and deliver exceptional customer experiences.
Unlocking data insights
Data harvest technologies to extract data from various sources, derive meaningful insights, identify trends, and make data-driven decisions to optimize safety and performance, enhancing user experience.
Simplified data governance
Robust data governance by leveraging comprehensive data policies, adhering to industry standards, and meeting compliance requirements, ensuring data integrity and regulatory adherence at every level.
Managing data complexity and volume
Effective data management involving compressing and sampling data, ensuring accuracy, defining ownership rules, and using advanced analytics to extract insights.
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