The document discusses how DataRobot provides an automated machine learning platform to help address the shortage of data scientists. It notes that while demand for data scientists is increasing due to the growth of data and need to extract insights, the supply of data scientists cannot keep up. DataRobot aims to turn more data-focused resources into effective data scientists and make existing data scientists more productive by automating workflows like data preparation, model training, evaluation and deployment. This helps organizations capitalize on their data and gain business value from AI and machine learning applications.

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copyright @2016 by DataRobot, Inc. All Rights Reserved
AUTOMATED MACHINE LEARNING

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DATA
is the new
oil

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AI &
Machine
Learning
monetizes
the data

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AI will generate $2.9 TRILLION in business
value and recover 6.2 BILLION hours of
worker productivity by 2021.
- Gartner Predictions (Forbes) -
THE IMPENDING AI DIVIDE

5. Confidential | Copyright © DataRobot, Inc. | All Rights ReservedSOURCE: https://go.forrester.com/wp-content/uploads/Forrester_Predictions_2017_-Artificial_Intelligence_Will_Drive_The_Insights_Revolution.pdf
AI-Driven companies will take $1.2 TRILLION
from competitors by 2020.
- Forrester Predictions 2017 -
Artificial Intelligence Will Drive The Insights Revolution
THE IMPENDING AI DIVIDE

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$120M+
200+
IN FUNDING
500,000,000+
MODELS BUILT ON
DATAROBOT CLOUD
INSURANCE & BANKING HEALTHCARE FINTECH ON-DEMAND SERVICES MANY MORE
50+
TOP 3 FINISHES
The world’s most advanced Automated Machine Learning platform
DATA SCIENTISTS &
ENGINEERS (OF 400+)
2012FOUNDED
HQ in Boston, MA
#1 RANKED
DATA SCIENTISTS
4

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Unmet
demand for
Data Scientist
What Problem Are We Solving?
Demand driven by the exponential increase
in data and the competitive pressure to
extract value from it.
Supply driven by the availability of data
scientists and technology.
TIME

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Turn additional data centric
resources into Data Scientists
Make Data Scientists
more productive
We fill the shortage of data
science by accomplishing
two goals...
Data Science Shortage

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BEST PRACTICES AND TECHNOLOGY
Jeremy Achin
CEO & Co-Founder
Highest: 20th
Xavier Conort
Chief Data Scientist
Highest: 1st
Tom de Godoy
CTO & Co-Founder
Highest: 20th
Owen Zhang
Product Advisor
Highest: 1st
Sergey Yurgenson
Data Scientist
Highest: 1st
The top ranked Data Scientists in the world
MASTER MASTER MASTER MASTER MASTER
The best technologies in the world
Amanda Schierz
Data Scientist
Current: 1st Female, 1st in UK
MASTER

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THE AI BOTTLENECK: DATA SCIENTISTS
Data
Scientist
Programming
Skills
Math &
Stats
Domain
Expertise
PREREQUISITES
1. Knowledge of the business
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

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BOTTLENECK SOLUTION - AUTOMATION (PLATFORM – Cloud or On-Premise)
Programming
Skills
Math &
Stats
Domain
Expertise
AUTOMATED
(Parallel computing)
PREREQUISITES
1. Knowledge of the business
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

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SAMPLE CUSTOMERS
InsuranceBanking FinTech HiTech OtherHealthcare

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$50 Million in annual
value in under 18 months

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Workflow used to take
two months down to two
minutes with DataRobot

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90% reduction in
modeling time + 15%
uplift in accuracy

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Kurnia said that since
she started using the
software, she has been
able to reduce loan
defaults by about 5%.

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THE OPPORTUNITY FOR MACHINE LEARNING IN ANY BUSINESS
Marketing
Predicting customer Lifetime Value (LTV)
Churn
Customer segmentation
Product mix (best product mix to reduce churn)
Cross selling/recommendation algorithms
Up selling
Channel optimization
Discount targeting
Responses rates
Reactivation likelihood
Adwords optimization and ad buying
In store traffic patterns
Aircraft scheduling
Sales
Lead prioritization
Demand forecasting
Pricing
Market Basket
Inventory management / Dynamic Pricing
Promos / Upgrades / Offers
Human Resources
Resume screening
Employee churn
Training recommendation
Talent management
Risk
Credit risk
Fraud detection
Accounts Payable Recovery
Anti-money laundering
Insurance Claims prediction
Readmission Risk
Warranty Analytics
Claim Prediction
Logistics
Procurement
Warehousing
Cost Analysis
Product life cycle
Demand Forecast
Assembly
Turnover
Banking
Insurance
Healthcare
Media
Pharma
Telco
Retail
Government
Energy
Transportation

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DataRobot University | DataRobot Essentials
Gain the skills you need to make the most of the automated capabilities of DataRobot to explore,
model, and act on data. This course provides hands-on coverage of the DataRobot platform and its
features, expert advice on best practices in machine learning, and guidance on how to integrate
predictions into your production systems.

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Some Features
Before Live Demo

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Start with an intuitive workflow ...

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Develop a lot of accurate models … at
scale

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Deploy them effortlessly … anywhere

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Learn from your data ...

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Use them in day to day business
decision

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Thank you!
Sutaek Kim
DataRobot
sutaek.kim@datarobot.com