Ducati Corse, the racing department of Ducati Motor Holding, a world leader in sports motorcycle manufacturing, is working with Accenture to integrate the Internet of Things (IoT) and artificial intelligence technologies into the testing of its MotoGP racing bikes. Ducati Corse wants to make testing its race bikes faster, cheaper and more effective.
Through advances such as big data and the Internet of Things (IoT), the field of analytics has been growing by leaps and bounds. However, much of the focus, particularly in the United States, has been in the consumer (i.e., business-to-consumer, or B2C) market. Indeed, much of the innovation coming out of Silicon Valley, and from disruptive digital companies with new business models and no legacy infrastructure to contend with, remains in the context of personalization and the consumer experience.
Imagine a sensor inside an offshore drilling rig. The sensor checks for damage to a critical valve. To do so, the sensor regulates pressure in the oil well 7,000 feet below the ocean’s surface. This sensor generates data that might have gone unnoticed half a decade ago. Back then, the rig operator had no way to tap into this ground-level information.
That’s not the case anymore. With the right technology, organizations can now find everyday data instantly, no matter where it is created – right away, on the fly – exactly when this data is most useful.
IoT (Internet of Things) devices have become increasingly popular in recent years. They are all around us – from fitness trackers on our wrists to smart thermostats in our homes – and adoption will only continue to grow in the coming years. In fact, Gartner, Inc. reported that 5.5 million new things were connected in 2016 alone, upping the total of connected things worldwide to 6.4 billion, a 30 percent increase from 2015. Gartner projects we will reach 20.8 billion by 2020.