It was with regret, 18 months ago, that I had to acknowledge, one Sunday afternoon while driving the family to see a film, that the only place my car was going was the scrap yard! A sudden horrendous grinding noise from the engine accompanied by a flurry of lights on the dash signaled the end of life of the timing belt, which meant the end of the engine, and therefore the car.
I tell this story to provide an example of how we end up reacting to events too late and often at enormous cost. It might have been different. After all, the data was there to enable me to benefit from a proactive insight; that strange intermittent grinding noise that I’d been hearing in the background for a couple of weeks and the smoking from what I thought was the clutch as we pulled up an icy drive. Yep, the data had been there; I just hadn’t been listening properly; all I got was the opportunity to mumble “oh, that was what it all meant”.
Massive amounts of data are being produced continuously as there are many more things, like my car, generating data 24/7/365. In a June 2019 report, IDC projected 41.6 billion ‘things’ (devices) will cause 79.4 zettabytes (ZB) of data. The point is, data is plentiful, but making it easy to alert us to things that can go wrong or predict future happenings is the challenge.
In another recent IDC report, Stacy Crook stated: “The Internet of Things (IoT) can be one of the richest sources of this data, providing information on the current state of almost anything that can emit a signal. Organizations can then apply analytical tools to these signals so they know when a given reading (or set of readings occurring together) should trigger a response.” So, rather than passively watching source data accumulate (like filling a reservoir in which we will fish around later for explanations), invest in a solution that helps you monitor data and drive insights to make faster, better decisions. Oracle’s IoT Intelligent Applications does just that.
Oracle IoT Intelligent Applications focus on the requirements for ready-to-deploy solutions for smart manufacturing, predictive maintenance, connected logistics, and worker safety. We capture IoT data, combine with machine learning and human experience patterns, and make it easy for business users.
Other than my personal auto experience, a commercial scenario is Titan International, an off-the-road tire and wheel manufacturer. They implemented Oracle IoT Intelligent Applications along with Oracle Cloud Supply Chain and ERP to digitize their factory operations. As this video outlines, they improved costs, systems, and quality when they gained visibility to inventory and increased production and shipping efficiencies.
Oracle makes it easy to leverage IoT by having just one SKU with a comprehensive range of capabilities. We can help organizations improve asset uptime and availability, streamline efficiencies for field service operations, increase logistics efficiency, and ensure workplace safety. These tools can help enable compliance with safety policies or support planning for the introduction of new products into the market. IoT is not just about collecting data, it is centered on real-time analysis and prediction to pinpoint issues and enable confident evidence-based actions and resolutions.
So, reflecting on my Sunday morning car scenario, imagine what it could be if we could move beyond from just knowing or observing “oh that’s what that was” to “thank goodness we found out in time” and action could be taken based on the power of knowing what’s to come.