IoT devices are overwhelming companies with data, much of it unstructured, and firms want to find ways to collect and make sense of that information in a timely way.
“The current challenge in data science is for businesses to glean and analyze captured data as fast and accurately as possible, so it can be translated into immediately actionable insights,” says Adebayo Onigbanjo, director of marketing, IoT of Chicago-based Zebra Technologies. “However, the importance of leveraging data is not diminishing. Companies need more data to have better visibility into their assets, people, and transactions. Businesses will increasingly take advantage of sensors, beacons, and RFID tags in the enterprise environment, lending them a voice to communicate with [users] and producing data constantly and immediately. Decoding the data collected through IoT-enabled devices and wearables will help companies accelerate their decision-making processes, and make more informed business judgments.”
Daniel Chow, CTO at open technology integrator Silicon Mechanics, says those with math skills and development chops are in the driver’s seat, with considerably more demand than supply for the emerging IoT market.
“As businesses evolve, they’ll want to leverage their vast warehouse of data to try and track customer consumption and behavior and turn that into plans for growth,” Chow says. “I do see more interest in RFID and also various embedded edge devices that can enable that type of intelligence gathering.”
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