Improving Healthcare with Industrial Machine Learning

While many organizations wrestle with this dilemma, the challenge is especially felt in healthcare. The industry has intense volumes and varieties of data coming from multiple sources, including electronic health records, digital scans, genomic data, wearables and smartphone apps. The goal is to find a way to consistently produce data-driven insights at enterprise scale. This can be done with industrial machine learning (IML), which provides a scalable solution for ingesting data, building algorithms, deploying them into production, and generating continuous insights to ongoing business problems. In healthcare, IML makes possible the kind of personalized care that organizations are hoping to achieve, one that goes beyond predictive analytics to add context to large varieties of data and distill them into something actionable.