#PAWNYCDAY1

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Automated Machine Learning
Large Scale Adoption of Predictive Analytics
Satadru Sengupta
General Manager, Insurance, DataRobot Inc.
Predictive Analytics World - Business | NYC 2017

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$120M+
IN FUNDING
2012
FOUNDED
HQ in Boston, MA
Insurance Analytics
Running Insurance at DataRobot

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Large Scale Adoption of
Predictive Analyticswhy?

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Digitization of
Customer
Behavior

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● Formation of New Habits
● Digitization of Every Single Industry

6. How business is changing?
Depth and breadth of Predictive Analytics

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● Profitable Growth
● Improved Operations and Services
● Defence

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Large Scale Adoption Means ….
Predictive Analytics has to be a core
capability of any 21st century
organization.

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Large Scale Adoption of
Predictive Analyticswhat?

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Predict the outcome at an individual level
Change the outcome at an individual level
… need to do these at a large scale

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Accurate Prediction Matters.
High accuracy means two things:
don’t miss a fraud, don’t bother a good
customer.

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Interpretability and Transparency
Matters.
- Model structure
- What is behind the predictions
- Data to predictions

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# Use Cases
+
Data Calibration
Maturity
Many
Low
Few
High
Pipeline year
3
Pipeline year
2
Pipeline year
1
Scale Matters.

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Large Scale Adoption of
Predictive Analyticshow?

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Automated Machine Learning
AI (artificial intelligence) builds robotic
process automation for predictive
analytics - that focuses on accuracy,
transparency, and ease of use.

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PREREQUISITES
1. Knowledge of the overall & specific 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
Requirement without AI & Robotic Process Automation
Math &
Stats
Domain
Expertise
Programming
Skills

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PREREQUISITES
1. Knowledge of the overall & specific problem
2. Knowledge of the data
Requirement with AI & Robotic Process Automation
Math &
Stats
Domain
Expertise
Programming
Skills
AUTOMATED

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Accuracy
One or Two Algorithms.

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Transparency
Only Selected Few Can Explain
Anyone Can Explain

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Ease of Use
Artisanal: Only Selected Few Can Use
Anyone Can Use

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Predictive Analytics Challenge
Data
Scientists
Domain
Expertise
Your
Employees

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The “Failed” Approach: Data Scientist Focused
Data
Scientists
Domain
Expertise
Your
Employees
https://hbr.org/2016/12/why-youre-not-getting-value-from-your-data-science

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Large Scale Delivery Model: Process Automation Focused
Data
Scientists
Domain
Expertise
Your
Employees

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Human Centric AI
Jobs are not going away, jobs are
changing.

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Questions
&
Comments