Imagine you walk into your dispatch office and see that your vehicle has broken down, your driver is running out of available hours, and inclement weather is delaying your next delivery. As the fleet manager, you now have to decide how best to handle this perilous situation. You have relied on disparate data sources to get ahead of the problem, but still, you struggle for insights that can drive good decisions. Enter Telematics 2.0 – the evolution of telematics.
To solve these issues for fleet and mobile asset managers, telematics will evolve from being a “dot on a map” tracking solution to a digital automation platform that ultimately guides an effective and fast decision-making process. The secret ingredient is artificial intelligence (AI), the programs that process all your data and give you exactly what you need to know in real time.
At its core, there are four steps to get there.
Awareness: Data comes in many shapes, sizes, sources, and colors. We see the fundamental first step in telematics evolution as “Awareness”, a central data aggregation repository that can collect data from everywhere. Not just GPS tracking on a vehicle, but cameras, people, infrastructure, other vehicles, and much more. With IoT sensors becoming ubiquitous and APIs becoming standardized, we are fast connecting the physical world to digital awareness.Twitter
Intelligence: What do you do with all this data and awareness? A next step that we had serendipitously fallen into was reporting, alerting, and broadly classified as Business Intelligence (BI). I take this as a “trying to report on the data”, sometimes uncovering things you didn’t know (intelligence) and mostly reinforcing your gut instinct with visible data (bias validation). This solved some problems but didn’t get to the real “Why?” which takes us to the next phase – cognition.
Cognition: To answer the “Why?” of what happens you need a deeper contextual understanding of the situation. For this, we look beyond the digital signals from a source, and start looking for the intent of an action, layering in external factors, measuring the outcome in different situations, and creating a holistic view of why things happen. This is critical in going from repetitive robotic processes to real automation, where decisions can be made and enacted per the capability, situation, surroundings and time.
Automation: Automation will transform work. It starts by augmenting your everyday tasks. Today, you – “the operator” – are at the end point of awareness and intelligence and make the final call on every decision. In this phase, we leverage cognitive insights to automate real-time operational decisions and provide deeper insights that may lead to business automation.Twitter
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