07/03/2018
The skills companies need to acquire include expertise in areas such as cybersecurity, networking, device hardware, applications, and overall management of IoT strategy. But perhaps nowhere will demand be greater in the coming years than in areas related to data analytics. As companies seek to use IoT data to predict outcomes, prevent failures, optimize operations and develop new products, advanced analytics competency—including artificial intelligence (AI) and machine learning (ML)—will be critical to their success. In addition to data scientists, organizations will need people who can assist with data collection, hygiene, cleansing and transformation of IoT data sets into a form in which they can be processed by analytics algorithms, providing timely operational insights.
