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Artificial Intelligence
Humans Need Not Apply…
Washington Society of Certified Public Accountants
Thank YOU!
Washington Society of Certified Public Accountants
Erick Watson
Chief Product Officer
http://www.linkedin.com/in/erickwa
erickwa@msn.com
Washington Society of Certified Public Accountants
Tonight’s Agenda
What are these concepts?
Why should I care?
How might they affect me?
Artificial
Intelligence
Machine
Learning
Data Science
Washington Society of Certified Public Accountants
Check in
Q1: What are some of your questions or concerns –
what do you hope to learn this evening?
Q2: How does tonight’s event and your affiliation
with WSCPA support your individual goals?
Q3: How do you plan to apply the results of
tonight’s event, either personally or professionally?
Washington Society of Certified Public Accountants
Data
Science
Machine
Learning
Artificial
Intelligence
I promise you will learn something new about…
Washington Society of Certified Public Accountants
Data Science
“Without data, you’re just another
person with an opinion.” – W. Edwards
Deming, American Statistician
Washington Society of Certified Public Accountants
What is Data Science?
Math &
Statistics
Subject
Matter
Expertise
“Hacking”
Skills
Machine
Learning
Traditional
Research
Danger
Zone!
* Drew Conway 2010
• Identify a data task or prediction problem
• Collect relevant data
1. Problem Formulation
• Clean, transform, filter, aggregate, impute
• Convert into X and Y
2. Data Processing
• Train models
• Evaluate models
3. Machine Learning
Washington Society of Certified Public Accountants
The Data Science process…
Raw Data
Collected
Data is
Processed
Clean
Dataset
Exploratory
Data
Analysis
Models &
Algorithms
Communicate
Visualize Report
Data Product
* Data science process flowchart from Doing Data Science, Cathy O’Neil & Rachel Schutt, 2013
Reality
Make Decisions
Washington Society of Certified Public Accountants
How did we get here?
Trend 1.
Big Data
Trend 2.
Statistical Tools &
Methods
Trend 3.
Cloud
Computing
Washington Society of Certified Public Accountants
…most of it Unstructured
Why Big Data?
Washington Society of Certified Public Accountants
Unstructured
Data
Semi-Structured
Data
Structured
Data
Three general types of data…
Washington Society of Certified Public Accountants
Check in: Who wants to be a Data Scientist?
Washington Society of Certified Public Accountants
Machine
Learning
“Data is the oil of the 21st century, and
analytics (ML) is the combustion
engine.” – Peter Sondergaard; VP,
Gartner
Washington Society of Certified Public Accountants
An Example of Machine Learning
Tacoma Accounting & Financial Women’s Alliance
The Machine Learning (ML) Hierarchy
Tacoma Accounting & Financial Women’s Alliance
Artificial
Intelligence
Machine
Learning
Deep Learning
Creation of Intelligent Machines that
think & act like humans
Techniques for computers to learn
without being explicitly programmed
Training of machines to think
like human brains – Application
of Artificial Neural Networks
Programming automates processes ML automates Program generation
Traditional Programming vs. Machine Learning
Data
Program
Computer Output
Data
Output
Computer Program
(Model)
• Washington Society of Certified Public Accountants
18
Sidebar:
Deterministic
vs.
Relativistic
Thinking
Basic Machine Learning Workflow
1. PROBLEM FORMULATION
Can you describe the
problem using data?
2. DATA COLLECTION
How can you obtain
a large, high-quality
dataset?
3. MODEL TRAINING & SELECTION
What is a good
model? How do you
measure success?
4. IMPROVE & ITERATE
Error analysis, More
data, “Better”
models
Washington Society of Certified Public Accountants
Machine Learning terms you may have heard…
Supervised
Learning
• Correct classes of
training data are
known
• Relies on algorithms
trained by Human
Input
Unsupervised
Learning
• Correct classes of
training data are NOT
known
• High reliance on
algorithm to correctly
classify things
Semi-Supervised
Learning
• A mix of Supervised
and Unsupervised
Reinforcement
Learning
• Allows machine to
learn based on
feedback from
environment
• Can be learnt once
and for all, or
continually adapting
Families of Supporting Techniques include: Classification, Clustering, Regression, Neural Networks, etc.
Washington Society of Certified Public Accountants
B. Analyze C. Expose & Interpret
1. Identify
Signals
2.
Cluster
2. Extract,
Classify
4. Adv.
ML
Focused
Web
Crawling
Twitter
Facebook
API / User
Interface
A. Collect & Preprocess
Example: Natural Language Processing Pipeline
Washington Society of Certified Public Accountants
Example: Computer Vision using CNN’s
Washington Society of Certified Public Accountants
Common Applications of Machine Learning
Web Search
Finance
E-commerce
Robotics
Information
Extraction
Debugging
Washington Society of Certified Public Accountants
Check in: What other ML applications can you think of?
Washington Society of Certified Public Accountants
Artificial
Intelligence
“The sad thing about artificial
intelligence is that it lacks artifice, and
therefore intelligence.” – Jean
Baudrillard, French Sociologist
Washington Society of Certified Public Accountants
What is Artificial Intelligence?
February 12, 2018
In computer science, an ideal "intelligent" machine is a
flexible rational agent that perceives its environment and
takes actions that maximize its chance of success at some
goal.[1] Colloquially, the term "artificial intelligence" is applied
when a machine mimics "cognitive" functions that humans
associate with other human minds, such as "learning" and
"problem solving".[2]
Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
Washington Society of Certified Public Accountants
AI and ML Demystified / @carologic / MWUX2017
In the extreme…
Washington Society of Certified Public Accountants
“Most people working in AI have a healthy skepticism for the idea
of the singularity.
We know how hard it is to get even a little intelligence into a
machine, let alone enough to achieve recursive self-
improvement.”
– Toby W sh
http://www.wired.co.uk/article/elon-musk-
artificial-intelligence-scaremongering
Washington Society of Certified Public Accountants
Remember: “We can unplug the machines!”
https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
Washington Society of Certified Public Accountants
February 12, 2018 Washington Society of Certified Public Accountants
Conclusions
Tacoma Accounting & Financial Women’s Alliance
Data
Science
Machine
Learning
Artificial
Intelligence
I promised you would learn something new about…
Tacoma Accounting & Financial Women’s Alliance
Q&A
@ErickWa Tacoma Accounting & Financial Women’s Alliance
Keep in Touch!
February 12, 2018 Tacoma Accounting & Financial Women’s Alliance
http://www.linkedin.com/in/erickwa
erickwa@msn.com

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Artificial Intelligence: Humans Need Not Apply

  • 1. Artificial Intelligence Humans Need Not Apply… Washington Society of Certified Public Accountants
  • 2. Thank YOU! Washington Society of Certified Public Accountants
  • 3. Erick Watson Chief Product Officer http://www.linkedin.com/in/erickwa erickwa@msn.com Washington Society of Certified Public Accountants
  • 4. Tonight’s Agenda What are these concepts? Why should I care? How might they affect me? Artificial Intelligence Machine Learning Data Science Washington Society of Certified Public Accountants
  • 5. Check in Q1: What are some of your questions or concerns – what do you hope to learn this evening? Q2: How does tonight’s event and your affiliation with WSCPA support your individual goals? Q3: How do you plan to apply the results of tonight’s event, either personally or professionally? Washington Society of Certified Public Accountants
  • 6. Data Science Machine Learning Artificial Intelligence I promise you will learn something new about… Washington Society of Certified Public Accountants
  • 7. Data Science “Without data, you’re just another person with an opinion.” – W. Edwards Deming, American Statistician Washington Society of Certified Public Accountants
  • 8. What is Data Science? Math & Statistics Subject Matter Expertise “Hacking” Skills Machine Learning Traditional Research Danger Zone! * Drew Conway 2010 • Identify a data task or prediction problem • Collect relevant data 1. Problem Formulation • Clean, transform, filter, aggregate, impute • Convert into X and Y 2. Data Processing • Train models • Evaluate models 3. Machine Learning Washington Society of Certified Public Accountants
  • 9. The Data Science process… Raw Data Collected Data is Processed Clean Dataset Exploratory Data Analysis Models & Algorithms Communicate Visualize Report Data Product * Data science process flowchart from Doing Data Science, Cathy O’Neil & Rachel Schutt, 2013 Reality Make Decisions Washington Society of Certified Public Accountants
  • 10. How did we get here? Trend 1. Big Data Trend 2. Statistical Tools & Methods Trend 3. Cloud Computing Washington Society of Certified Public Accountants
  • 11. …most of it Unstructured Why Big Data? Washington Society of Certified Public Accountants
  • 12. Unstructured Data Semi-Structured Data Structured Data Three general types of data… Washington Society of Certified Public Accountants
  • 13. Check in: Who wants to be a Data Scientist? Washington Society of Certified Public Accountants
  • 14. Machine Learning “Data is the oil of the 21st century, and analytics (ML) is the combustion engine.” – Peter Sondergaard; VP, Gartner Washington Society of Certified Public Accountants
  • 15. An Example of Machine Learning Tacoma Accounting & Financial Women’s Alliance
  • 16. The Machine Learning (ML) Hierarchy Tacoma Accounting & Financial Women’s Alliance Artificial Intelligence Machine Learning Deep Learning Creation of Intelligent Machines that think & act like humans Techniques for computers to learn without being explicitly programmed Training of machines to think like human brains – Application of Artificial Neural Networks
  • 17. Programming automates processes ML automates Program generation Traditional Programming vs. Machine Learning Data Program Computer Output Data Output Computer Program (Model) • Washington Society of Certified Public Accountants
  • 19. Basic Machine Learning Workflow 1. PROBLEM FORMULATION Can you describe the problem using data? 2. DATA COLLECTION How can you obtain a large, high-quality dataset? 3. MODEL TRAINING & SELECTION What is a good model? How do you measure success? 4. IMPROVE & ITERATE Error analysis, More data, “Better” models Washington Society of Certified Public Accountants
  • 20. Machine Learning terms you may have heard… Supervised Learning • Correct classes of training data are known • Relies on algorithms trained by Human Input Unsupervised Learning • Correct classes of training data are NOT known • High reliance on algorithm to correctly classify things Semi-Supervised Learning • A mix of Supervised and Unsupervised Reinforcement Learning • Allows machine to learn based on feedback from environment • Can be learnt once and for all, or continually adapting Families of Supporting Techniques include: Classification, Clustering, Regression, Neural Networks, etc. Washington Society of Certified Public Accountants
  • 21. B. Analyze C. Expose & Interpret 1. Identify Signals 2. Cluster 2. Extract, Classify 4. Adv. ML Focused Web Crawling Twitter Facebook API / User Interface A. Collect & Preprocess Example: Natural Language Processing Pipeline Washington Society of Certified Public Accountants
  • 22. Example: Computer Vision using CNN’s Washington Society of Certified Public Accountants
  • 23. Common Applications of Machine Learning Web Search Finance E-commerce Robotics Information Extraction Debugging Washington Society of Certified Public Accountants
  • 24. Check in: What other ML applications can you think of? Washington Society of Certified Public Accountants
  • 25. Artificial Intelligence “The sad thing about artificial intelligence is that it lacks artifice, and therefore intelligence.” – Jean Baudrillard, French Sociologist Washington Society of Certified Public Accountants
  • 26. What is Artificial Intelligence? February 12, 2018 In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[2] Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1 Washington Society of Certified Public Accountants
  • 27. AI and ML Demystified / @carologic / MWUX2017 In the extreme… Washington Society of Certified Public Accountants
  • 28. “Most people working in AI have a healthy skepticism for the idea of the singularity. We know how hard it is to get even a little intelligence into a machine, let alone enough to achieve recursive self- improvement.” – Toby W sh http://www.wired.co.uk/article/elon-musk- artificial-intelligence-scaremongering Washington Society of Certified Public Accountants
  • 29. Remember: “We can unplug the machines!” https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence Washington Society of Certified Public Accountants
  • 30. February 12, 2018 Washington Society of Certified Public Accountants
  • 31. Conclusions Tacoma Accounting & Financial Women’s Alliance
  • 32. Data Science Machine Learning Artificial Intelligence I promised you would learn something new about… Tacoma Accounting & Financial Women’s Alliance
  • 33. Q&A @ErickWa Tacoma Accounting & Financial Women’s Alliance
  • 34. Keep in Touch! February 12, 2018 Tacoma Accounting & Financial Women’s Alliance http://www.linkedin.com/in/erickwa erickwa@msn.com