The document provides an introduction to artificial intelligence (AI) and how business owners can get started leveraging AI in their stores. It begins by debunking common myths that AI requires extensive technical skills or resources. The document then discusses what AI and machine learning are, how they work, and why they are suddenly gaining popularity. It outlines several ways businesses can use AI, such as building chatbots, implementing recommendation engines, and enabling predictive customer engagement. The document concludes by recommending businesses start experimenting with AI now using various online tools and platforms and considers AI as a way to augment human capabilities.

1. HOW TO GIVE YOUR
WOO STORE
SUPERPOWERS

2. Fill in the gaps and squash hype around A.I.
Build the case for using it now.
And provide easy ways to get started.
TODAY’S GOALS

3. INTRODUCTIONS

4. ABOUT ME
chris.mohritz@10xeffect.com
● Lifelong entrepreneur
● Deep technology background (strategy, not developer)
● Using A.I. (machine learning) in business since 2009
● Opening a startup accelerator in Vegas

5. HOW I GOT STARTED
Apache
Mahout
Behavior
prediction
Suite of
mobile apps
Determine most relevant (highest-converting)
sales offer to present to each individual user —
and the best (highest-converting) time to
present it.
circa 2009

6. FULLY INVESTED IN A.I.
Current startup projects:
● SparkStack — A.I.-driven social media automation
● Oratr — Conversation automation (chatbots)
● Copy Engine — A.I.-generated content
Current podcasts:
● 10x
Effect — Exponential thinking in business strategy
● Cognitive Marketing — A.I.-driven customer experience
● Build. Sell. Repeat. — “A.I. first” serial entrepreneurship

7. LET’S GET TO IT...

8. ● You don’t need a supercomputer
● You don’t need to write a ton of code
● You don’t need to invest massive amounts of time
● You don’t need a data science degree
● You don’t need to be a math whiz
● You don’t need mountains of data
It’s actually much easier than you think.
MYTH BUSTING

9. You don't have to be a technologist.
You just have to know where this stuff is going.
Because it will impact your business.
ALSO...

10. ● Demystify A.I., machine learning & deep learning
● Why A.I. is suddenly a hot topic
● What A.I. means for your business
● How to get started
● Demos
OUR JOURNEY

11. WHAT IS IT?

12. Any activity that used to be only done via human
intelligence that now can be executed by a computer.
ARTIFICIAL INTELLIGENCE

13. Pattern recognition.
Machine Learning is
the part of A.I. that
makes a computer
appear intelligent.
MACHINE LEARNING
analyticsvidhya.com/blog/2015/07/difference-machine-learning-statistical-modeling

14. Classifies patterns by
comparing features.
How would you teach a
child to recognize different
people?
● Distance between eyes
● Width of nose
● Shape of cheekbones
● etc.
HOW DOES IT WORK?

15. Probability.
Each potential
answer gets a
numeric probability
calculated for it.
Higher probability
means greater
confidence.
HOW DOES IT MAKE DECISIONS?

16. A many-layered Artificial Neural Network (>2 layers)
WHAT IS DEEP LEARNING?
“deep”cs231n.github.io/neural-networks-1 “shallow”

17. THE GOLDEN AGE OF AI
We’ve hit the tipping point.
Watching A.I. get smarter
is like watching a bullet
train.
The moment you see it
coming, it’s already blown
past you.

18. SUDDENLY A HOT TOPIC

19. Everything is becoming software.
And A.I. is eating the software.
● Limitless computing
● Limitless storage
● Limitless data (IoT = massive need)
● Deep learning — compelling insights
● Easy access — targeted machine learning SaaS
WHY NOW?

20. Massive strides in the past year.
● Google open sources natural language processing platform
● Amazon open sources deep learning platform
● Google announces quantum computing works
● IBM offers access to quantum computer
● Google’s DeepMind beats Go champion
WHAT’S NEW

21. ALL THE PIECES ARE IN PLAY
The Internet gave us big data (greater need).
The cloud gave us massive computing (more horsepower).
And it’s getting much, much bigger…

22. BIG DATA[x]

23. MASSIVE COMPUTING[x]
100 million times faster...?
“I would predict that in 10 years there’s nothing but
quantum machine learning.”
~Hartman Nevet
Head of Google’s Quantum AI Lab
via: technologyreview.com
via: researchgate.net

24. ON A PATH TO UBIQUITY
“The most profound technologies are those that
disappear. They weave themselves into the fabric of
everyday life until they are indistinguishable from it.”
~Mark Weiser
Scientific American, 1991

25. A.I. is not a gadget. It is in every gadget.
It won’t make a splash. It will make splashes bigger.
It won’t seek our attention. It will live in the background.
Without fanfare, A.I. will simply make everything we use
smarter.
And it’s happening now.
A QUIET REVOLUTION

26. WHAT IT MEANS FOR
YOUR BUSINESS

28. “By 2020, customers will manage 85% of their
relationship with [brands]
without interacting with a human.”
~ Gartner

29. “Where’s the natural-language version of your product?”
“How do I talk to your app/store?”
“Do I really have to click through menus?”
CUSTOMER SERVICE IN NEAR
FUTURE

30. Reducing costs.
● Customers can serve themselves
● Fewer support staff required
● Effortlessly sell to broader
audience
N.L.P. REMOVES FRICTION
Accelerating adoption.
Photo credit: en.wikipedia.org/wiki/File:Technology-Adoption-Lifecycle.png

31. EXPLOSION OF CHATBOTS
The new ‘app’ platform.
Google Home Amazon Echo Facebook Messenger

32. RISE OF UBIQUITOUS COMPUTING
A voice-powered
connection to the
cloud in every corner
of your customer’s
lives.
Photo credit:
journaldugeek.com/2016/10/04/google-home-veut-vous-assister-au-quotidien-dans-votre-maison

33. LITERALLY...EVERYWHERE
Control anything
through natural
voice commands.
Using Amazon Echo,
Google Home or any
other device.

34. Better experiences for your customers.
A.I.-powered tools are already giving savvy store
owners the ability to craft previously unobtainable
experiences for their customers.
( And those new experiences will raise the bar for
everyone. )
WHAT DOES IT ALL MEAN?

35. HOW TO GET STARTED

36. A.I. is not a replacement for human staff.
It augments them.
Allows one person to do the work of 1000.
So embrace your new superpowers...
WRAPPING YOUR HEAD AROUND
IT

37. OR
WHICH IS YOUR BUSINESS?
People enhanced
by technology.
A technology platform
driven by people.

38. Build it with…
● Chatfuel
● API.ai
● Howdy.ai (open source)
● Pandorabots
● Motion.ai
● Converse.ai
● Octane AI
CHATBOT
Run it on…
● Facebook Messenger
● Amazon Alexa
● Google Home/Assistant
● Slack
● Discord
● Telegram
● Kik

39. Behavior
Prediction
Interest
Tracking
RECOMMENDATION ENGINE
Pages & content they’ve visited
Emails they’ve opened/clicked
Resources they’ve used/downloaded
Products they’ve viewed/wishlisted/bought
Searches they’ve made
Blog
Store
Find patterns Determine what they want to
see/do/buy next (and when)
Days/time they’re active App
Search
Devices they’ve used (& geo location)
Email
Social
• Recommended posts
• Recommended products
• Delivery day/time
• Dynamic content
• Related posts
• Sales offers
• Related products
• Cross/up sell
• Dynamic pricing
• Dynamic content
• Sales offers
• Functionality
• Query suggestions
• Results ranking
• Sales offers
• Content curation
• Delivery day/time
• Retweet/reshare
Tribe
• Recommended topics
• Topic curation
• Member introductions[ Amazon Machine Learning ]
[ Amazon Machine Learning ]

40. Speech
to Text
Sentiment
Analysis
Actionable
Analysis
Customer
Support
PREDICTIVE ENGAGEMENT
Customer
support call
recordings
Convert audio
into text
Analyze for
mood keywords
Determine if
response is required
Reach out to
customer/prospect
Blog & community comments
Social media mentions
Press & blog coverage
Customer support chat
Product reviews
Inbound emails
[ IBM Watson Speech to Text ] [ IBM Watson Tone Analyzer ] [ IBM Watson AlchemyLanguage ]

41. VISUAL PRODUCT SEARCH
http://slyce.it/technology#how-it-works

42. VIP TREATMENT
consumerreports.org/privacy/facial-recognition-who-is-tracking-you-in-public1

43. SENTIMENT ANALYSIS
popularmechanics.com/technology/a18636/facewatch-facial-recognition-identify-criminals
Analyze how
people react to
your product.

44. ● Lead scoring
● Opportunity predictions
● News & social monitor
A.I.-POWERED CRM
youtu.be/jordnlvENEg?t=10m0s

45. SENTIMENT ANALYSIS
keyhole.co
ibm.com/smarterplanet/us/en/ibmwatson/developercloud/tone-analyzer.html
templates.prediction.io/pawel-n/template-scala-cml-sentiment

46. SPEECH RECOGNITION
cloud.google.com/speech
developer.amazon.com/public/solutions/alexa
github.com/tensorflow/models/tree/master/syntaxnet (Parsey McParseface)

47. Assembled by
machine learning
360° PHOTOS
bgr.com cloud.google.com/vision

48. TRANSLATION

49. AUTOMATED CAPTIONS
“A group of young
people playing a
game of frisbee.”
Great example of
deep learning —
understanding the
context of an image.
io9.gizmodo.com/computers-wrote-the-caption-for-this-photograph-and-ch-1660450610

50. DEMOS

51. ( A.I.-ish )
Ibmwatsonconversation.com
IBM WATSON CHATBOT

52. ( pure machine learning )
gigaom.com/2017/02/08/building-a-recommendation-engine-using-microsoft-azure
MICROSOFT RECOMMENDATIONS

53. CLOSING

54. Start now.
It’s here, today.
It’s evolving
exponentially.
Think “A.I.-First.”

55. Intro blog posts:
● Artificial Intelligence 101 (the big picture)
● Machine Learning 101 (what you’ll actually use)
New ‘How to Apply A.I. in Your Business’ blog series:
● Voice-Powered Products w/ Amazon Alexa
● Predictive Social Media w/ IBM Watson(live)
● Image Recognition w/ Google Cloud
● Recommendation Engine w/ Microsoft Azure
GO DEEPER

56. END
chris.mohritz@10xeffect.com