Deriving analytic insights from Machine Learning and IoT sensors

Johnson Controls delivers best-in-class building technologies and energy storage. In their quest to continually improve operations, they implemented a modern data architecture based on Hadoop. They started with a small successful proof of concept and recognized the need to make more of their data accessible to more teams. Johnson Controls was able to successfully integrate Big Data technology into more of their operations that ultimately supports their goals to create better products, reduce waste, and increase profitability.Join this webinar where our guest speaker from Johnson Controls shares their journey from a small Hadoop POC to a global production-ready implementation that includes security and governance.You will hear:•What steps JCI took throughout the process•What framework and technologies they used•How they engaged executives for full corporate buy-in•Issues they encountered and solved•How JCI was able…

Link to Full Article: Deriving analytic insights from Machine Learning and IoT sensors

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