A leading IoT Solution Provider Scaled Their Vibration-based Sensor Analytics Solution | InfoServices
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Executive Summary
Our client, a technology firm founded in 2000 by Penn State University researchers, specializes in energy harvesting, wireless sensors, and smart medical devices. Located in Pennsylvania, they drive sustainability and competitiveness through a Comprehensive Machine Health Platform, powering over 58M in unplanned downtime since 2018, and solving machine health problems worldwide. Our client, a prominent industrial IoT solution provider specializing in vibration-based sensor analytics, sought to enhance its platform to accommodate anticipated market growth. Collaborating with Info Services, the project aimed to develop a scalable diagnostic solution, minimize human intervention, enhance operational safety, and introduce an intuitive mobile application for superior customer interaction. Info Services implemented a scalable diagnostic solution by redesigning the architecture with microservices, reducing human dependency. Leveraging AWS services, Postgres, React, and Azure DevOps, ML models were integrated for maintenance predictions, alongside introducing a high-reliability mobile app for enhanced customer experience. Achieved a 30% reduction in AWS spend, optimizing infrastructure utilization. Established a scalable, resilient, and secure data and analytics platform. Introduced on-demand insights for field engineers through the new Mobility Solution. Automated build and deployment processes, enabling efficient machine learning operations (MLOps). Partnering with Infoservices, the USA-based leading consumer electronics solution provider transformed its IoT analytics infrastructure, achieving significant cost savings, scalability, and operational efficiency. Through a scalable, microservices-based model, they rapidly expanded their predictive maintenance and customer experiences, solidifying the client’s market leadership.
Client: Our client, a technology firm founded in 2000 by Penn State University researchers, specializes in energy harvesting, wireless sensors, and smart medical devices.
Scaling existing solutions to accommodate market growth. Transitioning from heuristic models to machine learning algorithms. Ensuring seamless integration of various technologies and platforms. Addressing the need for enhanced operational efficiency and reduced human dependency.
Scaling existing solutions to accommodate market growth. Transitioning from heuristic models to machine learning algorithms. Addressing the need for enhanced operational efficiency and reduced human dependency.
A transformative shift towards scalable, efficient, and data-driven industrial IoT analytics, setting new standards for operational excellence and customer satisfaction in the industry.