Cloud computing, ubiquitous networking and low-cost hardware have ensured that the Internet-of-Things can be used on a much larger scale. We now have the ability to connect almost any device. And that is why there is such high-level investment on IoT, with IDC forecasting a US$ 773 billion investment on it this year alone. Automobile maker Tesla and consumer brand Nest are two of the significant examples in it. While devices and the brands that build them are doing an impressive job, work needs to be done on more streamlined data warehousing. Enormous amounts of data is being generated from multiple devices, but all of it may not be useful. Devices from large firms such as Amazon Echo and Google Home are just some examples. A key task now is ‘sensorization’, or attaching sensors to as many data touch points as possible. This will enable the quick replacement of any malfunctioning part or whole device. But even before sensors report on the damage, predictive analytics allows companies to gauge the possibility of something falling apart, so proactive steps may be undertaken. Smaller devices such as Raspberry Pie and AR glasses from Vuzix are at the cutting-edge of such proactive transformation. Data needs to be shared across all touch points, so a feedback structure is needed between design, data and practice.

Source:https://www.forbes.com/sites/insights-intelai/2018/09/21/reinventing-products-from-the-inside/

Uploaded Date:27 September 2018