While widespread use of artificial intelligence (AI) and machine learning in manufacturing may still be several years off, both technologies are beginning to make their way onto the plant floor. Fueled by unprecedented amounts of data delivered via connected sensors and devices, properly trained AI algorithms can help optimize production processes, simplify quality control procedures, and enable various types of industrial autonomy. Still, being a relatively new technology, standardized frameworks for AI are currently lacking, which could hinder their further application in industry. For example, the lack of such frameworks could result in implementation difficulties, a lack of interoperability with other systems, and cybersecurity vulnerabilities. To this end, the Industry IoT Consortium (IIC) recently announced its development of the Industrial IoT Artificial Intelligence Framework (IIAIF).