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Edge Computing and the Industrial Internet of Things in 2019
What's in store for next year? Here are seven predictions for what to expect.
Dec 23, 2018—
The year 2018 was formative for Industrial Internet of Things (IIoT) technologies and deployments. Looking ahead to 2019, here are seven predictions for the commercial and industrial IoT, along with an outlook on computing size, the value of true edge computing, closed-loop edge-to-cloud machine learning and more.
1. Survival of the smallest: IIoT analytics and machine learning (ML) companies will be heavily measured on how much they can deliver in how little computing.
2. The market will understand "real" versus "fake" edge solutions.
"Real" edge intelligence starts with a hyper-efficient CEP that cleanses, normalizes, filters, contextualizes and aligns "dirty" or raw streaming industrial data as it's produced. In addition, a "real" edge solution includes integrated ML and AI capabilities, all embedded into the smallest (and largest) computing footprints. The CEP function should enable real-time, actionable analytics onsite at the industrial edge, with a user experience optimized for fast remediation by operational technology (OT) personnel. It also prepares the data for optimal ML/AI performance, generating the highest-quality predictive insights to drive asset performance and process improvements.
Real edge intelligence can yield enormous cost savings, as well as improved efficiencies and data insights for industrial organizations looking to embark on a true path toward digital transformation.
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