Oh those poor AI based tools … data vs experience vs intuition.

By Paul Lythgoe

Since data is the critical resource for AI/Machine learning algorithms and companies are purchasing AI technology and talent to enhance problem solving and decision making …

Tech Isn’t the Biggest Driver of Artificial Intelligence Acquisitions. This Is.
Why John Deere, Qualcomm, NASDAQ and more join ranks of big companies snapping up AI.

https://www.inc.com/lisa-calhoun/tech-isnt-the-biggest-driver-of-ai-acquisitions-th.html

 

… how effective will those problem solving algorithms be if company’s have a data quality problem?

 

Only 3% of Companies’ Data Meets Basic Quality Standards

https://hbr.org/2017/09/sgc-publish-the-week-of-911-new-research-only-3-of-companies-have-acceptable-quality-data

 

As we all know good, timely data is critical to confident decision making and problem solving and if data quality is as poor as Harvard Business Review reports then …

Without good quality data can these AI decision networks bring value to companies? Teaching ‘gut’ feel, that intuitive sense, may be too much of the human condition to code into an AI algorithm.

“But suppose we are nothing more than the sum of our first, naive, random behaviors. What then?”
― Dan Ariely, Predictably Irrational: The Hidden Forces That Shape Our Decisions