IoT Developers May Need Time Series Data Analysis Skills
“At the time, sensor costs and complexity were orders of magnitude higher; the volume of data was limited by sensor costs,” he said. “For example, an NVH application then required an expensive chain consisting of piezoelectric accelerometers, charge amplifiers, signal conditioning modules and data acquisition boards that easily cost $5,000 per channel or more.
“Today we enjoy access to a wide array of low-cost [devices] capable of comparable signal quality in highly integrated, multi-axis sensor ICs for less than $1 per channel in most instances,” he continued.
However, that progress adds stress to the programmer side of IoT development.
“With so much more data to digest, the bottleneck in the process really becomes the engineers and computer and data scientists that used to devise, test and implement algorithms largely by hand-using high-level languages.”
Rogers, like others, is working on machine learning code generation tools that address his perceived IoT developer bottleneck, to better analyze data generated by the Internet of Things.