John Sumser writes, “Maintenance. At the heart of intelligent tools (AI), deployment is a super-challenging question. Since all algorithms and models ‘drift’ (wear out), maintenance is a natural and important part of usage. But, maintenance is the hardest part of digital life.”
For buyers of AI technology, the two largest gaps in expectations vs. reality are the capability of AI today and what implementation of these tools looks like.
AI is the next level of abstraction in software and harnessing these powerful new technologies requires a different kind of thinking.
It’s easy for intelligent software that learns from decisions made by the company to fall behind what employees are experiencing and learning. John Sumser walks us through the important issues.
“It is easy to feel overwhelmed by emerging technology of any kind. The following is intended to give you a simplified foundation for understanding the new technologies that many in the market still call AI, but is better labeled Intelligent Software.” - John Sumser
“Our machines lack the capability to predict the future as anything other than an extension of the past. That means that their recommended decisions are most useful when they are up to date. So, we have to treat our machines with the respect that we’d accord an old friend.” - John Sumser
“What I’ve found instead was an amazing wonderland of experimentation. The companies I’ve covered in our reports are all charting unique paths through technology in pursuit of demonstrable value. It is a new flavor of Research and Development.” - John Sumser
This is the first in a series on legal issues in AI from Heather Bussing. Before we get to the legal part, Heather sets out some of the basic ideas of what she will be talking about in this series.
Bridge makes employee development the heart of talent management. It uses intelligent tools to guide managers when helping an employee learn new skills as a part of career development.
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