Given that commercial applications of machine learning have only recently entered the limelight, methods for developing the technology are still, for the most part, based on ad-hoc solutions. Common standards for commercial applications of machine learning remain far and few, which has many businesses wasting time and resources developing and maintaining homegrown hardware and software for their AI solutions. This not only increases the costs of innovation, but the multiplicity of technology formats also makes it impossible for AI systems and technology tools to work together.