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Automated Machine Learning
Gourab De, VP of Data Science Practice, DataRobot
Predictive Analytics World, San Francisco, 2017

Confidential. Copyright © DataRobot, Inc. - All Rights Reserved
Machine Learning in Insurance business decisions
COST
MARKETING &
RISK SELECTION
QUOTING, UNDERWRITING &
AUDIT
CLAIMS
MANAGEMENT
PREDICTING FRAUD &
LITIGATION
RETENTION
REVENUE

Confidential. Copyright © DataRobot, Inc. - All Rights Reserved
Machine Learning in Financial Services
COST
RISK STRATIFICATION
UNDERWRITING
LOAN MANAGEMENT FRAUD DETECTION
RETENTION, CROSS/UP-SELL
REVENUE
RISK AND
COMPLIANCE
ANTI-LAUNDERING
MARKETING

Confidential. Copyright © DataRobot, Inc. - All Rights Reserved
Machine Learning in Healthcare Delivery
Improved service
● Predicting escalation/
de-escalation of care
● Predicting occupancy of ICU
● Optimizing staffing needed
for ED
Better outcomes Reduced cost
● Predicting hospital-acquired
infection
● Predicting postoperative
outcomes
● Risk stratification
● Predicting treatment
effectiveness
● Predicting avoidable
readmission
● Predicting patients who are
likely to sue
● Predicting delay in payment
● Fraud detection

Confidential. Copyright © DataRobot, Inc. - All Rights Reserved
The Blueprint
1. Develop a lot of models
2. Deploy them all
3. Use them in decision making

Confidential. Copyright © DataRobot, Inc. - All Rights Reserved
Point of Failures in Machine Learning
1. Hiring and retaining good data scientists is impossible
2. Targeted end-users of machine learning product are
not included in the problem solving
HBR Article you may find interesting

Confidential. Copyright © DataRobot, Inc. - All Rights Reserved
New Technology Opens up New
Possibilities to the Executives
Artificial Intelligence & Automation
makes Machine Learning Scalable,
Pervasive and Inclusive

Confidential. Copyright © DataRobot, Inc. - All Rights Reserved
What defines Automated Machine Learning
Accuracy open-source competitive model selection, built for iteration
Control appeals to advanced data scientists
Interpretability transparency to validators, actionable insights to business
Integration not a model built in a lab, ready for production

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Develop a lot of models … at scale

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Deploy them effortlessly ...

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Use them in day to day business decision

Confidential. Copyright © DataRobot, Inc. - All Rights Reserved
Questions?
Gourab De
gourab.de@datarobot.com

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DATA SUMMIT 24 Building Real-Time Pipelines With FLaNK

Timothy Spann

Anomaly detection and data imputation within time series

Paris Women in Machine Learning and Data Science

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