OEMs and Mobility ecosystem are facing challenges across various touch points throughout the business cycle due to lack of power to see the unseen. On one hand, increased digitalization has helped the mobility ecosystem to better manage the business cycle, at the same time it generates lot of data giving an opportunity to create trusted insights and make efficient decisions.
>90% Accuracy -achieved
across various RUL models
9+ OEMs and Tier 1s on
boarded
5+ Pre-Built Component
Models
Dedicated team of domain
experts
KPIT brings AI/ML based ‘Remaining Useful Life’ methodology and cloud based solution which offers predictive model readiness across vehicle components with fusion of predictive analytics and decision-making algorithms to help OEMs and Tier1s in improving the efficiency and optimizing the cost.
Our Predictive Analytics platform uses Artificial Intelligence & Machine Learning technology to convert and converge various factors affective the life of vehicle components into useful insights to help you reduce component failures. Our solution is flexible to suit your customized requirements.
Our Predictive Analytics platform uses Artificial Intelligence & Machine Learning technology to convert and converge various factors affective the life of vehicle components into useful insights to help you reduce component failures. Our solution is flexible to suit your customized requirements.
We offer a host of associated data analytics services customized as per your requirements to help you achieve desired level of performance. Through our expertise, backed by years of experience, we bring to you domain agnostic model validation, integration & deployment powered by big data processing capabilities.
We offer a host of associated data analytics services customized as per your requirements to help you achieve desired level of performance. Through our expertise, backed by years of experience, we bring to you domain agnostic model validation, integration & deployment powered by big data processing capabilities.
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