Technologies Used
The client excels in enabling smart connectivity and mobility services. Their telemetry analysis platform for connected vehicles generates valuable data through cognitive analysis, facilitating the development of secure, intelligent, and eco-friendly mobility solutions. The platform provides a seamless "Plug-Configure-Play" solution for safety improvement, fleet management, and revenue generation. It serves diverse industries, including automotive OEMs, EV manufacturers, auto insurance, service providers, government agencies, and innovative connected vehicle businesses
The client, a prominent "Plug-Configure-Play" platform provider, required access to an extensive array of telemetric data combinations, numbering in the millions, to comprehensively cover potential use cases. These cases ranged from vehicle theft to high-speed chases, necessitating thorough variable data testing. Managing and validating such a vast volume of context and parameters proved daunting. Furthermore, as an industry leader, the client wanted to ensure platform quality and the validation of all conceivable user scenarios. Consequently, they sought a Cloud Integration Services solution to efficiently handle the complexities of telemetric data generation and testing to uphold the highest user experience standards
Challenges
Difficulty managing millions of telemetric data combinations for platform validation, which led to delays and potential issues
Time-consuming and error-prone manual methods hindered efficient platform tracking, risking oversight of critical issues
Handling large data volumes strained existing infrastructure, impacting performance and scalability
Solution
Developed an AI-enabled telemetry synthesizer for comprehensive scenario testing, ensuring platform quality
Streamlined platform tracking and verification through automation, improving reliability and customer satisfaction, as shown in this AWS case study
Implemented cloud and Kubernetes for efficient data handling, supporting platform growth and scalability
Challenges
Difficulty managing millions of telemetric data combinations for platform validation, which led to delays and potential issues
Time-consuming and error-prone manual methods hindered efficient platform tracking, risking oversight of critical issues
Handling large data volumes strained existing infrastructure, impacting performance and scalability
Solution
Developed an AI-enabled telemetry synthesizer for comprehensive scenario testing, ensuring platform quality
Streamlined platform tracking and verification through automation, improving reliability and customer satisfaction, as shown in this AWS case study
Implemented cloud and Kubernetes for efficient data handling, supporting platform growth and scalability
Business Impact
Streamlined Sales Demos
The AI-enabled telemetry synthesizer empowered the sales team to craft targeted, business-driven sales scenarios, increasing sales volume
Efficient Data Management
Assisted the platform in identifying its data volume handling capacity and deploying the necessary cloud configuration, starting with the seed and scaling with Kubernetes
Automated Data Synthesis
Implemented automation as the primary approach for comprehending data volume, characteristics, variations, and other analytical capabilities it could provide
Why Kanerika?
Kanerika is a premier provider of data-driven software solutions and services that facilitate digital transformation. Specializing in Data Integration, Analytics, AI/ML, and Cloud Management, Kanerika prides itself on its expertise in employing cutting-edge technologies and agile methodologies to ensure exceptional outcomes. With a proven track record across various industries, Kanerika maintains rigorous quality standards, backed by ISO 27701 certification, SOC II, and GDPR compliance. As a distinguished partner of Microsoft, AWS, and Informatica, Kanerika’s commitment to innovation and strong partnerships positions it at the forefront of empowering businesses for their growth.
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