Data scientists are an essential part of an IoT deployment. They fill a critical need to interpret data and provide valuable context around machine learning. However, as IoT initiatives expand and mature in a business, in-house data science resources can become thinly stretched. This creates a data pile-up that is a surefire way to set your deployment back.
Hiring more data scientists is typically not an option either as there is a significant shortage in the market. Demand is only going up too: Gartner predicts that a shortage of data scientists will hinder 75% of organizations from reaching their full potential with IoT through 2020. Because hiring is difficult, time consuming and expensive, many organizations are turning to data science services to fill in resource gaps. Outsourcing data scientists has the dual benefit of helping keep IoT initiatives moving forward while freeing up internal resources to focus on other areas of the business.