Applying a Factory Model to Artificial Intelligence and Machine Learning

Advanced analytics techniques, such as artificial intelligence and machine learning, provide organizations with new insights not possible with traditional analytics. To take advantage of these technologies and drive competitive advantage, organizations need to design and build solutions that allow them to exponentially grow their capacity to create value from data. The challenge is, how do you do that without also exponentially growing infrastructure costs and the number of data scientists needed to meet that business demand? The answer lies in industrializing the process using a data factory model. As AI / ML technologies, packaging, frameworks and tooling are emerging rapidly, there is a real need to evaluate these new capabilities to understand the potential impact they might have on your business.