Most digital transformation initiatives are stifled by the inability to get usable data from their shop floor equipment. This lack of data often leads to massive inefficiencies that are often invisible yet inhibit virtually every component of a company’s manufacturing operations including the ability to justify capital expenditures, drive process improvements, avoid unexpected machines failures that cause significant downtime and production losses, and optimize

Yet 76% of Industrial IoT implementations fail (Cisco, 2018) due to the time-consuming and prohibitively expensive nature of DIY implementation and deployment, as most manufacturers lack of required domain/vertical expertise to immediately use the collected data to drive measurable value. So what’s the solution?

In this presentation, Graham Imemrman of MachineMetrics examines common approaches for enabling Industrial IoT initiatives, the pros and cons, and their culpability for the high failure rate. He will then introduce a new approach that is already driving rapid, continuous value creation for discrete manufacturers and the companies that provide and service their manufacturing assets. introduces a new approach that is already driving rapid, continuous value creation for discrete manufacturers and the companies that provide and service their manufacturing assets.