Subjectivity versus Objectivity is an enormous problem in many industries. Variability in human judgment can lead to very costly mistakes.
Usually a wrong problem diagnosis can lead to a premature action or inaction that generates costs, some time fatal costs.
Examples include:
1) in retail ” did I get the right product in my inventory?” ,” did we stock enough toothpaste on the shelves? “
2) in medicine “is this benign or malignant cancer?” “How many Cells are in this samples? “
3) In industrial processes ” did we get the chemicals stocked in the right place? ” “ how many trucks have crosses hour gates today?” “ do we have any intruder in the facility?
4) In The Lodging and Cruise industry : “ Can I check in quickly without standing in line?”
5) In the environmental industry “ does this road need to be repaired? “ “ Is the Deers’ population shrinking in this park?”
The list could go on. These are all cases where a human judgment is requested and also to reach a desired precision a person has to spend a significant amount of time to make a call
……. Artificial Intelligence can take this subjectivity away from a decision process. It does it at scale and concurrently do the work much faster than human beings….
Computer Vision is a sub-field of artificial intelligence that seems the most mature to reach ubiquitous deployment at scale in the near future.
A recent article in techcrunch describes Computer Vision level of maturity and how it introduces objectivity in processes.
Before becoming an airline pilot, you need to go through a simulator. If you want to understand, design and implement a process based on computer vision you need to go through real cases.
Our course presents more than 4 use cases based on Computer Vision. Once more I urge you to size on the moment. A.I. is here to stay and you can get a competitive edge looking at real case scenario.
Get our course today at:
https://course.innodemia.com/p/artificial-intelligence-product-and-process-innovation
Stay strong
Paolo
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