As I’ve explained in previous posts, many organizations are rushing to enter the AI fray, hiring teams of data scientists, coders, and project managers in the urgency to get into the game. But what many teams retain in terms of dedication and enthusiasm for AI projects, they often lack in understanding of the art of […]
Artificial Intelligence (AI)—including Machine Learning (ML)—stands at this same precipice today as it transitions into the mass market. Yet because we are only beginning this process, there is a missing body of knowledge—you might say an unwritten book on the shelf. This is the knowledge that’s essential to developing AI applications with low risk, high value, and high adoption, across the thousands of use cases in which the technology can provide massive value to humanity worldwide.