Association for Packaging and Processing Technologies

According to the IIC, the IIoT Maturity Assessment considers 63 individual capabilities in total, each with five levels of maturity within the framework. For example, under strategic context, a maturity level can range from a limited number of critical individuals accepting IIoT ownership to full ownership of IIoT within an organization. The IIoT Maturity Assessment provides feedback about the level of maturity and highlights areas that may require development. The final outputs of the assessment provide links to the IIC Body of Knowledge for reference and to help companies improve their maturity level. Information in the IIC Body of Knowledge includes collaborative resources developed by industry leaders from the IIC membership, including IIC foundational documents (Industrial Internet Reference Architecture, Industrial Internet Security Framework, Industrial Internet Connectivity Framework, Business Strategy and Innovation Framework, Industrial Internet of Things Analytics Framework, and Vocabulary Technical Report) and other IIC documents and tools. Ask the Experts As someone who has been covering Automation for nearly a decade, Greenfield also sat down with Georgia Tech engineering, science and research experts to accurately gauge how the intersection of data and technology is changing the industry via IIoT. The overriding sentiment was that there’s too much data for humans to process on their own, with manufacturers accumulating a lot of data without knowing what they’re getting and why they’re getting it. To understand how data should be handled so that it has a meaningful impact for industry, there must be ongoing conversations and collaborations across three communities of knowledge relevant to industrial data—computer scientists, data scientists and domain experts. Therefore, there has to be domain knowledge involvement at an early stage to collect and process data at a level that is meaningful to the decision-maker.