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Intro to Artificial Intelligence
for Marketing
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Jim Sterne
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Jim Sterne Intro to Artificial Intelligence
for Marketing
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
NOT
for data scientists
How to be a data scientist
Cool algorithms
Statistical tips and tricks
How to build a bot
Latest start-ups
Quantum computing
Intro to AI & Machine Learning
How some methods differ
How to talk to data scientists
Where AI/ML is used in marketing
How to bring AI/ML into your org
How to keep your job
IS
for marketers
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
What is it?
How does it work?
What is it good at?
How is it useful?
Intro to Artificial Intelligence
for Marketing
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
What it is NOT
Intro to Artificial Intelligence
for Marketing
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
As Seen on TV
AI: Anything computers can’t
SciFi: Anything AI can’t
“General AI” – thinks and acts human
Sentience
“Narrow AI” – task specific
Functional
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Artificial Intelligence
Natural Language Processing
Conversation Bots
Computer Vision
Robots & Self-Driving Cars
Machine Learning
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Why Machine Learning Now?
50 years of study
Cheap storage of Big Data
Massively parallel processing (GPUs)
Open Source
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Software Grows Up
Specific Logic Mathematical Model
Do this, then this, then this
If this happens, do that
If confused, report error
Statistical Model Machine Learning
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Software Grows Up
Specific Logic Mathematical Model
Do this, then this, then this Describe numerical relationships
If this happens, do that Calculate alternatives
If confused, report error Human compares results & iterates
Statistical Model Machine Learning
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Software Grows Up
Specific Logic Mathematical Model
Do this, then this, then this Describe numerical relationships
If this happens, do that Calculate alternatives
If confused, report error Human compares results & iterates
Statistical Model Machine Learning
Calculate probabilities
Project likelihoods
Human compares & iterates
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Software Grows Up
Specific Logic Mathematical Model
Do this, then this, then this Describe numerical relationships
If this happens, do that Calculate alternatives
If confused, report error Human compares results & iterates
Statistical Model Machine Learning
Calculate probabilities Uses examples to figure it out
Project likelihoods and changes it's mind
Human compares & iterates
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
Unsupervised
Reinforcement
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
You know the right answer
needs many examples
of labeled data
Dog: Yes Cat: No Tag a friend?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
cat cat
cat cat
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
cat cat
cat cat
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
cat cat
cat cat
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
cat cat
cat cat
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
cat cat
cat cat
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Supervised
You know the right answer
needs many examples
of labeled data
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Segment my customers
Find look-alike prospects
Create customer personas
Good for unlabeled data
You don't know the right answer
Machine finds patterns in unlabeled data
Machine Learning
Unsupervised
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Machine Learning
Reinforcement
There is no absolute right answer
some answers are better
"rewards" based on results
optimizes over time
Photo by Marek Szturc on Unsplash
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
What is it?
How does it work?
What is it good at?
How is it useful?
Intro to Artificial Intelligence
for Marketing
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
More data than a human can wrangle
More attributes than a human can manage
More permutations than a human can comprehend
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
More data than a human can wrangle
More attributes than a human can manage
More permutations than a human can comprehend
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Learning Machine Learning
Decision Trees / Random Forest
Support Vector Machines
Neural Nets / Deep Learning
Ensemble
How does it work?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Neural Network  Deep Learning
Go to the movies?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Neural Network  Deep Learning
Go to the movies?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Neural Network  Deep Learning
Go to the movies?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Neural Network  Deep Learning
Go to the movies?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Learning Machine Learning
Decision Trees / Random Forest
Support Vector Machines
Neural Nets / Deep Learning
Ensemble
How does it work?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Learning Machine Learning
Decision Trees / Random Forest
Support Vector Machines
Neural Nets / Deep Learning
Ensemble
How does it work?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Learning Machine Learning
Decision Trees / Random Forest
Support Vector Machines
Neural Nets / Deep Learning
How does it work?
Genetic Algorithm
Covariance Kernels
Gaussian Processes
Hyperparameter Tuning
Particle Swarm Intelligence
Heterogeneous Configuration Models
Etc.
Etc.
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
What is it?
How does it work?
What's it good at?
How is it useful?
Intro to Artificial Intelligence
for Marketing
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Learning Machine Learning
High Dimensionality
High Cardinality
What's it good at?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Dimensionality = Attributes per Object
Cardinality = Options per Attribute
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Dimensionality = Attributes per Object
Cardinality = Options per Attribute
People
Objects
Attributes
billions of permutations
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Learning Machine Learning
High Dimensionality
High Cardinality
What's it good at?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Learning Machine Learning
Supervised / Unsupervised Examples vs. Exploration
Reinforcement Learning Rewards for good behavior
Decision Trees / Random Forest Random data & variables
Support Vector Machines Looking from many different angles
Neural Nets / Deep Learning Sort of how we think the mind works
Ensemble Collaboration and diversity rule
Dimensionality Attributes per object
Cardinality Options per attribute
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
What is it?
How does it work?
What's it good at?
How is it useful?
Intro to Artificial Intelligence
for Marketing
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Robots!
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
In-Store Robots
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Augmented Reality
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Augmented Reality
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Facial Recognition
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Artificial Intelligence
Natural Language
Speech to text
Conversation Bots
Text to meaning
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Automating Response
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Artificial Intelligence
Natural Language
Speech to text
This means that
Repeated correction
Taught over time
Conversation Bots
Text to meaning
Concept & emotion imitation
Repeated correction
Taught over time
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Bringing AI Into Your Organization
Look what followed me home!
Can we keep him?
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
AI Onboarding Tips
Clearly identified goals
Know your data
Start with repetitive, taxing tasks
Buy vs. build
Determine which data sets are useful
Become proficient at the Smell Test
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
The Smell Test
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Your Domain Knowledge
Marketing
Amount of data
Speed of correlation
Repetition minus ennui
Accuracy
Cost
Zero attitude
Machine Advantages Your Advantages
Reason
Common sense
Emotion
Empathy
Experience
Integrated cognition
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Harness the Power for Yourself
Learn the tools
Train your bots
Grow your skills
jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
Jim Sterne
eMetrics Summit
Digital Analytics Association
Artificial Intelligence for Marketing
Getting Started

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Artificial Intelligence in Marketing with Jim Sterne

  • 1. Intro to Artificial Intelligence for Marketing jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Jim Sterne
  • 2. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Jim Sterne Intro to Artificial Intelligence for Marketing
  • 3. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne NOT for data scientists How to be a data scientist Cool algorithms Statistical tips and tricks How to build a bot Latest start-ups Quantum computing Intro to AI & Machine Learning How some methods differ How to talk to data scientists Where AI/ML is used in marketing How to bring AI/ML into your org How to keep your job IS for marketers
  • 4. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne What is it? How does it work? What is it good at? How is it useful? Intro to Artificial Intelligence for Marketing
  • 5. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne What it is NOT Intro to Artificial Intelligence for Marketing
  • 6. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne As Seen on TV AI: Anything computers can’t SciFi: Anything AI can’t “General AI” – thinks and acts human Sentience “Narrow AI” – task specific Functional
  • 7. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Artificial Intelligence Natural Language Processing Conversation Bots Computer Vision Robots & Self-Driving Cars Machine Learning
  • 8. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Why Machine Learning Now? 50 years of study Cheap storage of Big Data Massively parallel processing (GPUs) Open Source
  • 9. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Software Grows Up Specific Logic Mathematical Model Do this, then this, then this If this happens, do that If confused, report error Statistical Model Machine Learning
  • 10. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Software Grows Up Specific Logic Mathematical Model Do this, then this, then this Describe numerical relationships If this happens, do that Calculate alternatives If confused, report error Human compares results & iterates Statistical Model Machine Learning
  • 11. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Software Grows Up Specific Logic Mathematical Model Do this, then this, then this Describe numerical relationships If this happens, do that Calculate alternatives If confused, report error Human compares results & iterates Statistical Model Machine Learning Calculate probabilities Project likelihoods Human compares & iterates
  • 12. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Software Grows Up Specific Logic Mathematical Model Do this, then this, then this Describe numerical relationships If this happens, do that Calculate alternatives If confused, report error Human compares results & iterates Statistical Model Machine Learning Calculate probabilities Uses examples to figure it out Project likelihoods and changes it's mind Human compares & iterates
  • 13. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised Unsupervised Reinforcement
  • 14. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised You know the right answer needs many examples of labeled data Dog: Yes Cat: No Tag a friend?
  • 15. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised cat cat cat cat You know the right answer needs many examples of labeled data
  • 16. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised cat cat cat cat You know the right answer needs many examples of labeled data
  • 17. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised cat cat cat cat You know the right answer needs many examples of labeled data
  • 18. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised cat cat cat cat You know the right answer needs many examples of labeled data
  • 19. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised cat cat cat cat You know the right answer needs many examples of labeled data
  • 20. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised You know the right answer needs many examples of labeled data
  • 21. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised You know the right answer needs many examples of labeled data
  • 22. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised You know the right answer needs many examples of labeled data
  • 23. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised You know the right answer needs many examples of labeled data
  • 24. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised You know the right answer needs many examples of labeled data
  • 25. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised You know the right answer needs many examples of labeled data
  • 26. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Supervised You know the right answer needs many examples of labeled data
  • 27. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Segment my customers Find look-alike prospects Create customer personas Good for unlabeled data You don't know the right answer Machine finds patterns in unlabeled data Machine Learning Unsupervised
  • 28. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Machine Learning Reinforcement There is no absolute right answer some answers are better "rewards" based on results optimizes over time Photo by Marek Szturc on Unsplash
  • 29. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne What is it? How does it work? What is it good at? How is it useful? Intro to Artificial Intelligence for Marketing
  • 30. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne More data than a human can wrangle More attributes than a human can manage More permutations than a human can comprehend
  • 31. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne More data than a human can wrangle More attributes than a human can manage More permutations than a human can comprehend
  • 32. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Learning Machine Learning Decision Trees / Random Forest Support Vector Machines Neural Nets / Deep Learning Ensemble How does it work?
  • 33. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Neural Network  Deep Learning Go to the movies?
  • 34. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Neural Network  Deep Learning Go to the movies?
  • 35. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Neural Network  Deep Learning Go to the movies?
  • 36. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Neural Network  Deep Learning Go to the movies?
  • 37. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Learning Machine Learning Decision Trees / Random Forest Support Vector Machines Neural Nets / Deep Learning Ensemble How does it work?
  • 38. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Learning Machine Learning Decision Trees / Random Forest Support Vector Machines Neural Nets / Deep Learning Ensemble How does it work?
  • 39. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Learning Machine Learning Decision Trees / Random Forest Support Vector Machines Neural Nets / Deep Learning How does it work? Genetic Algorithm Covariance Kernels Gaussian Processes Hyperparameter Tuning Particle Swarm Intelligence Heterogeneous Configuration Models Etc. Etc.
  • 40. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne What is it? How does it work? What's it good at? How is it useful? Intro to Artificial Intelligence for Marketing
  • 41. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Learning Machine Learning High Dimensionality High Cardinality What's it good at?
  • 42. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Dimensionality = Attributes per Object Cardinality = Options per Attribute
  • 43. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Dimensionality = Attributes per Object Cardinality = Options per Attribute People Objects Attributes billions of permutations
  • 44. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Learning Machine Learning High Dimensionality High Cardinality What's it good at?
  • 45. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Learning Machine Learning Supervised / Unsupervised Examples vs. Exploration Reinforcement Learning Rewards for good behavior Decision Trees / Random Forest Random data & variables Support Vector Machines Looking from many different angles Neural Nets / Deep Learning Sort of how we think the mind works Ensemble Collaboration and diversity rule Dimensionality Attributes per object Cardinality Options per attribute
  • 46. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne What is it? How does it work? What's it good at? How is it useful? Intro to Artificial Intelligence for Marketing
  • 47. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Robots!
  • 48. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne In-Store Robots
  • 49. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
  • 50. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
  • 51. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Augmented Reality
  • 52. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Augmented Reality
  • 53. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Facial Recognition
  • 54. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Artificial Intelligence Natural Language Speech to text Conversation Bots Text to meaning
  • 55. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
  • 56. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Automating Response
  • 57. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Artificial Intelligence Natural Language Speech to text This means that Repeated correction Taught over time Conversation Bots Text to meaning Concept & emotion imitation Repeated correction Taught over time
  • 58. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne
  • 59. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Bringing AI Into Your Organization Look what followed me home! Can we keep him?
  • 60. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne AI Onboarding Tips Clearly identified goals Know your data Start with repetitive, taxing tasks Buy vs. build Determine which data sets are useful Become proficient at the Smell Test
  • 61. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne The Smell Test
  • 62. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Your Domain Knowledge Marketing Amount of data Speed of correlation Repetition minus ennui Accuracy Cost Zero attitude Machine Advantages Your Advantages Reason Common sense Emotion Empathy Experience Integrated cognition
  • 63. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Harness the Power for Yourself Learn the tools Train your bots Grow your skills
  • 64. jsterne@targeting.com – Marketing Evolution Experience.com – @jimsterne Jim Sterne eMetrics Summit Digital Analytics Association Artificial Intelligence for Marketing Getting Started

Editor's Notes

  1. How do you get there? Depends on where you are today
  2. How do you get there? Depends on where you are today