An AI/ML-Enabled Defense

Transcription

1 An AI/ML-Enabled Defense Fully Leveraging Artificial Intelligence/Machine Learning to Make Better Predictions. Faster. Chris Devaney, COO

2 Mission: Teach machines to do data science Better Predictions. Faster

3 If your competitor is rushing to build AI and you don t, it will CRUSH you!

4 Whoever accumulates the most data, learns the best models, gets the most new customers, and so on in a virtuous circle ultimately wins ~ Pedro Domingos VS Traditional Hotels Taxis

5 Hype Danger Levels Hype Danger Hype Danger Hype Danger Hype Danger Hype Danger Artificial Intelligence Deep Learning Machine Learning Statistical Modeling Data Science

6 The Necessity of Artificial Intelligence to Deter War & Protect Our Security

7 The Necessity of Artificial Intelligence to Deter War & Protect Our Security

8 Hype Danger Levels Hype Danger Hype Danger Hype Danger Hype Danger Hype Danger Artificial Intelligence Deep Learning Machine Learning Statistical Modeling Data Science

9 The Necessity of Artificial Intelligence/Machine Learning to Deter War & Protect Our Security The development of computer systems able to perform tasks that normally require human intelligence

10 Artificial Intelligence vs Machine Learning Artificial Intelligence Systems: Make decisions and take action Machine Learning Models: Learn from historical examples and outcomes to calculate predictions or estimates on new data

11 AI vs. ML: Self Driving Cars ML: There s a 99% chance that there s a pedestrian in front of you AI: Estimated distance: 2m; speed: 25 mph; road conditions: dry. Is there time to stop? ML: No AI: Which way should we swerve? ML: Oncoming traffic is to the left AI: Swerving right

12 Automate The Necessity of Artificial Intelligence/ML to Deter War & Protect Our Security

13 Every Combination of Every Model - For Each Use Case

14 Automate The Necessity of Artificial Intelligence/ML to Deter War & Protect Our Security Optimize

15 Model Explainability: Prediction Reason Codes

16 Automate The Necessity of Artificial Intelligence/ML to Deter War & Protect Our Security Optimize Turn data into actionable intel

17 Mission Agnostic CYBERSECURITY PUBLIC HEALTH AND SAFETY SCIENTIFIC AND MEDICAL RESEARCH THREAT REDUCTION FRAUD DETECTION

18 The AI Bottleneck Domain Expertise PREREQUISITES 1. Knowledge of the business problem 2. Knowledge of the data Programming Skills Data Scientist Math & Stats

19 The AI Bottleneck Programming Skills Domain Expertise Data Scientist Math & Stats PREREQUISITES 1. Knowledge of the business problem 2. Knowledge of the data 3. Ability to write code to gather data 4. Ability to write code to explore/inspect data 5. Ability to write code to manipulate data 6. Ability to write code to extract actionable intel 7. Ability to write code to build models 8. Ability to write code to implement models

20 The AI Bottleneck Programming Skills Domain Expertise Data Scientist Math & Stats PREREQUISITES 1. Knowledge of the business problem 2. Knowledge of the data 3. Ability to write code to gather data 4. Ability to write code to explore/inspect data 5. Ability to write code to manipulate data 6. Ability to write code to extract actionable intel 7. Ability to write code to build models 8. Ability to write code to implement models 9. Foundational statistics 10. Internals of algorithms 11. Practical knowledge and experience 12. Knowing how to interpret and explain models

21 The Problem The small pool of data scientists and large amount of time needed to research, construct, and deploy models leaves organizations unable to deliver time-sensitive projects. Demand for predictive models Unmet Demand for Data Science Supply of data scientists Time

22 Filling the Gap Automate the process of researching, testing, and deploying predictive algorithms. Demand for predictive models Unmet Demand for Data Science Increase Data Scientist productivity Supply of data scientists Time

23 Filling the Gap Automate the process of researching, testing, and deploying predictive algorithms. Enable more people to help research, test, and deploy predictive algorithms. Demand for predictive models Analysts & Engineers can do Data Science Increase Data Scientist productivity Supply of data scientists Time

24 Automated Machine Learning: The New Prerequisites Domain Expertise PREREQUISITES 1. Knowledge of the business problem 2. Knowledge of the data Programming Skills AUTOMATED Math & Stats

25 The World s Only Automated Machine Learning Platform 2012 FOUNDED HQ in Boston, MA $124M IN FUNDING 300,000,000+ MODELS BUILT ON DATAROBOT CLOUD 160+ DATA SCIENTISTS & ENGINEERS (OF 290+) 4 #1 RANKED DATA SCIENTISTS 50+ TOP 3 FINISHES I N S U R A N C E B A N K I N G F I N T E C H H E A L T H C A R E P U B L I C S E C T O R M A N Y M O R E

26 In the Future There Will Be Two Types of People

27 In the Future There Will Be Two Types of People People who are told by machines what to do

28 In the Future There Will Be Two Types of People People who are told by machines what to do People who tell the machines what to do

29 The Best Predictions. Faster