According to Gartner, over 50% of machine learning models do not make it to production. One of the main factors for this is that once a model is put in production it needs constant monitoring, retraining, and re-deployment because of changing data or changing business needs. This is the case for the manufacturing industry where sensors for multiple machines can be used to build predictive models for several measures such as energy consumption or for maintenance prediction. The sheer quantity of sensors and machines makes this task too cumbersome for any company.

The global bearing and seal manufacturing company is experiencing significant disruption in their supply chain and was seeking, as part of their digitalization journey, a supply chain visibility solution.  The manufacturer was looking to increase transparency on the routing of the actual shipment, to acquire real-time visibility on the cargo level, and achieve transportation lead time predictability in its global end-to-end transportation network.

The challenge encountered was to harness vehicle data in a harmonized and cost-effective way to build new revenue streams and increase business efficiency in a changing and continuously growing mobility market. This required a Connected Car ecosystem that can be replicated very quickly in any geography and that does not rely on aftermarket telematics devices or mobile phones for the ingestion of mobility data.

Europe‘s 2030 climate change ambition combined and complicated by Europe‘s energy crises requires an accelerated shift to greener businesses and economies. According to DXC’s experience in business engagements with customers and partners, almost all enterprises facilitate the creation of an energy efficiency culture within the organization. Also, an energy efficiency culture driven through an active energy management and optimization solution has become a strategic action.

The challenge encountered was to harness vehicle data in a harmonized and cost-effective way to build new revenue streams and increase business efficiency in a changing and continuously growing mobility market. This required a Connected Car ecosystem that can be replicated very quickly in any geography and that does not rely on aftermarket telematics devices or mobile phones for the ingestion of mobility data.