Businesses are challenged with human intensive processes that can be improved through artificial intelligence. Low hanging fruit is a good place to start. I discuss a simple example involving expense report audits and a more complex one that you will see after.
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From images to business data, informing the next best action
1. IMAGES TO BUSINESS DATA
▷ INFORMING THE NEXT BEST
ACTION
JACK C CRAWFORD
▷ Employing artificial intelligence for business advantage
Copyright 2016, Jack C Crawford. For educational purposes only (fair use)
2. SINCE THE DAWN OF
TYPEWRITERS, ORGANIZATIONS
HAVE CREATED SILOS OF
INFORMATION
Image: breezeware.net
4. SILOED AI WILL JUST MAKE IT
WORSE
Make it better
instead
▷ Let the machine
take over the parts
we do poorly
Image: enterpriseinnovation.net
5. IMAGES? ENTERPRISE DATA?
TWO IDEAS:
A) Remove humans from image analysis
▷ Don’t review every receipt in an expense report
▷ Let the machine do it for you
B) Engage in real time
▷ Recognize mood
▷ Respond accordingly
6. THE PROJECT – EXPENSE RECEIPT
AUDITING
Image: dreamtimes.com
7. THE HYPOTHESIS
The image can be
compared against the
DATA that is in the
expense report line
item
If it matches, there is
no need to view the
deep learning
8. IT’S NOT GOING TO BE EASY, BUT
IT WILL BE WORTH IT
100 employees submit
expense reports each
week
An average of 15 line
items, each with a
required receipt
Headcount of 6 people
to review (i.e. audit)
each line item
Savings: HUGE
9. NEXT BEST ACTION
▷ Recognize
mood
▷ Respond
accordingly
Image: ointegration.com/go/why-personalization
13. Going from an image to the next best action is
simply a trigger to the machine learning driven
recommendation
AND IT DOESN’T TAKE A HUMAN TO PERFORM
THE ACTION (SEE PREVIOUS SLIDE)