Siemens and Databricks lead way on predictive maintenance
TECH & AI
Siemens and Databricks lead way on predictive maintenance
AI and machine learning ( ML ) are revolutionising supply chain management in so many ways and areas , including predictive maintenance .
Two companies leading the way on this front are Siemens and Databricks .
Siemens is a global powerhouse in engineering and technology , and offers a range of predictive maintenance solutions for industries such as manufacturing , energy , and healthcare . In 2022 , Siemens acquired Senseye , a leading provider of predictive maintenance solutions for manufacturing and industrial companies .
Combining leading AI with human insights , the platform helps organisations to increase productivity , work more sustainably , and accelerate digital transformation .
“ There are several digital technologies that can help manufacturers make operations more responsive , resilient and robust ”
RUCHIR BUDHWAR , EVP Manufacturing Europe , Infosys
Databricks Machine Learning empowers ML teams to prepare and process data , streamlines cross-team collaboration . The Databricks Lakehouse Platform enables businesses to build resilient and predictive supply chains , “ by eliminating the trade-off between accuracy or depth of analysis and time ”, says the company .
It enables scalable forecasts , to predict demand and boost supply chain planning and optimisation , and can be a supply chain management aid by improving the accuracy of decisions .
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