Dive in to real-life use cases of industrial IoT as well as have a look at the challenges and obstacles to come as the field of AI continues to evolve.get the white paper
In many ways, it’s not surprising that the industrial IoT (IIoT) revolution commanded the lead in deploying IoT innovation and yielding returns from that investment, even if consumer IoT markets garner more media attention. The IoT extends the traditional operational benefits of telematics, enabling companies to use wireless technology and the internet to connect a far broader spectrum of “things.“
Yet it takes more than a huge investment in IoT devices to make the initiative a success. To succeed and remain a step ahead of traditional competitors as well as IoT pure-players seeking entry into the market (especially from information systems pure players), enterprises need to cultivate data as a core competency.
This is in contrast to the strategy enterprises often employ with data, which is to keep it siloed on certain teams or with certain people instead of democratizing it across teams. So often the challenge is incorporating IoT data strategy into the data strategy as a whole. And indeed, developing data as a core competency means: