The document discusses leveraging artificial intelligence to enhance business processes, specifically through automating image analysis and expense receipt auditing. It highlights the effectiveness of machine learning in reducing human involvement and improving efficiency in identifying and responding to customer needs. By implementing these technologies, organizations can achieve significant cost savings and improve customer experiences.

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

10. Image: pega.com

11. Image: pega.com

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)

14. THANK YOU
@JACKCCRAWFORD