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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)
SINCE THE DAWN OF
TYPEWRITERS, ORGANIZATIONS
HAVE CREATED SILOS OF
INFORMATION
Image: breezeware.net
THIS DISRUPTS THE CUSTOMER’S
EXPERIENCE
Image: nuance.com
SILOED AI WILL JUST MAKE IT
WORSE
Make it better
instead
▷ Let the machine
take over the parts
we do poorly
Image: enterpriseinnovation.net
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
THE PROJECT – EXPENSE RECEIPT
AUDITING
Image: dreamtimes.com
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
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
NEXT BEST ACTION
▷ Recognize
mood
▷ Respond
accordingly
Image: ointegration.com/go/why-personalization
Image: pega.com
Image: pega.com
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)
THANK YOU
@JACKCCRAWFORD

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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
  • 3. THIS DISRUPTS THE CUSTOMER’S EXPERIENCE Image: nuance.com
  • 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
  • 12.
  • 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)