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AI and ML: Project Success Often Defined by Data Quality

By Dick Weisinger

Garbage in — Garbage out. Machine Learning (ML) and Artificial Intelligence (AI) algorithms often work by looking for patterns that occur across huge volumes of data, but dirty or poor data sets can throw a ringer into AI projects. Nathaniel…

Pervasive AI: Rapid Technology Adoption

By Dick Weisinger

Over just a few years, the growth of Artificial Intelligence (AI) has been phenomenal. Expect more of the same for the near future. Where will we/are we see AI being applied? Healthcare – Intelligent medical devices to improve patient experience.…

Knowledge Engineering: The AI Supercharging Ingredient

By Dick Weisinger

Knowledge Engineering is the ability of an Artificial Intelligence (AI) algorithms to emulate the reasoning, judgment and behavior of an expert in a particular field. Knowledge Engineering algorithms represent the distilled knowledge and wisdom of humans. Knowledge Engineering rewrites human…

Autonomic Computing: Freeing Up People to Focus no Innovation

By Dick Weisinger

Software is getting smart. Software algorithms are promoted to become managers of systems. This kind of self-managing, self-healing software is called autonomic computing. The term autonomic computing may have come from a 2001 IBM paper that predicted that systems and…

AI for Coders: AutoComplete gets Smarter

By Dick Weisinger

Artificial Intelligence (AI) is now beginning to make programming easier. Microsoft has upgraded their type-ahead Intellisense technology in Visual Studio to something they are calling ‘Intellicode‘. Intellicode is the result of AI training with thousands of GitHub projects that have…