A presentation for IBM Skillsfuture workshops on AutoAI using the telco customer churn dataset.

1. Introducing H2O.ai and IBM
Power Systems
Sunny Panjabi

2. 2
Machine Learning
Input Feature
Extraction
Features Classification Output
Machine Learning
Algorithms
Y = a x + b
ML & DL – all about the
weights
Q: How important is size
of a house in determining
price?
Size of house
Priceofhouse

3. 3
Deep Learning
Input Feature
Extraction
Features Classification Output
Deep Learning
Algorithms
DL takes care
To see neural networks in
action:
https://playground.tensorflo
w.org

4. 4
A data scientist’s chores: cleaning, preprocessing, feature transformations
https://www.linkedin.com/pulse/i-dont-want-code-anymore-auto-me-sunny-panjabi/

5. ~100
Data science experts in the world
Time for a data scientist to build
a model
Months
Black box models
Lack of Trust in AI
Meet MAS Guidelines on Fairness, Ethics,
Accountability and Transparency (FEAT) in the Use of AI
5
Meet Transparency Requirement:
Data subjects are provided, upon request, clear explanations on what data is used to make AIDA-driven
decisions about the data subjects and how the data affects the decision.
http://www.mas.gov.sg/~/media/MAS/News%20and%20Publications/Monographs%20and%
20Information%20Papers/FEAT%20Principles%20Final.pdf
Time to Insight
Months down to
Hours
Automated
GPU-accelerated ML
with IBM AC922

6. What is AutoAI?
The origins of 'AI for AI’
'Neural Architecture Search with Reinforcement Learning,' - where Google Brain researchers talk about
training a Recurrent Neural Network as a 'controller' to find the best Convolutional Neural Network
architecture which can attain optimal results on a classic image recognition dataset with
reinforcement learning. In short - it's using AI to find and train the best AI.

7. H2O.ai Company Overview
Company Founded in Silicon Valley in 2012
Series C Investors: Wells Fargo, NVIDIA, Nexus Ventures, Paxion Ventures
Products • H2O Open Source Machine Learning (14,000 organizations)
• H2O Driverless AI – Automatic Machine Learning
Leadership Market Leader recognized by Gartner, Forrester, InfoWorld,
Constellation Research
Team 130+ AI experts (Kaggle Grandmasters, Distributed Computing and
Visualization experts)
Global Mountain View, London, Prague, Chennai, Singapore

8. 8
Telco customer churn - Kaggle

9. 9
Manual coding – 200 plus lines of code with data transformations
https://github.com/Sunny-ML-DL/telecom-customer-churn-
prediction/blob/master/Telecom%20Customer%20Churn%20Prediction(6).ipynb

10. 10
H2O Driverless AI – a 15 mins experiment

11. 11

12. 12

13. Or Watson AutoAI
13

14. H2O Driverless AI
Customer Use Cases

15. H2O Driverless AI Delivers Value in Every Industry
Matched 10 years of
machine learning expertise
Financial Services
+6%
Accuracy
Increased customer
satisfaction
Healthcare
Near
perfect
scores
Outperforms alternative
digital marketing
Marketing
2.5x
performance
Accurately predicting supplies
& materials for future orders
Manufacturing
25%
time savings
“Driverless AI is giving
amazing results in terms of
feature and model
performance “
“Driverless AI powers our data
science team to operate at
scale. We have the opportunity
to impact care at large.”
“Driverless AI helped us gain
an edge for our clients. AI to
do AI, truly is improving our
system on a daily basis.”
“H2O Driverless AI feature
engineering is better than
anything I've seen out there
right now.”
Venkatesh Ramanathan
Sr. Data Scientist, PayPal
Martin Stein
Chief Product Officer, G5
Bharath Sudarshan
Dir. of Data Science, ArmadaHealth
Robert Coop
Sr. Data Scientist, SB&D

16. Different ways to help you interpret and understand the model
Surrogate Decision Tree
K-Lime Linear Models
Reason Codes
Why will someone Default?
A Pay Amount of $3,000 decreases their likelihood to default
The fact that they haven’t paid in 2 months increases their
likelihood to default

17. Additional sources of information
*** IBM Internal and Business Partner Use Only ***
• H2O DAI in SmartSeller: http://ibm.biz/SS-H2O-DAI
• H2O DAI Demo Video: https://www.youtube.com/watch?v=5jSU3CUReXY
• H2O DAI Walkthrough on Power: http://ibm.biz/H2O-DAI-Power-Video
• H2O DAI Documentation: http://ibm.biz/H2O-DAI-Docs
Driverless AI Slack Community (Internal)
• https://h2odriverlessai.slack.com
• Note: Internal, but some people
from H2O.ai are members
Slack Community (Public)
• Community: http://tinyurl.com/h2o-slack
• Guide: http://tinyurl.com/hac-community-guide
Ask questions, discuss use cases, feedback, …

18. BACKUP SLIDES

19. Client Roadmap to Getting Started
with H2O Driverless AI
• Get the 21 day free trial for Driverless AI
• Don’t have the hardware… try the Qwiklab cloud training environment
• Follow the Tutorial video
• Learn how Driverless AI delivers Trust & Explainable AI
• Learn more about NLP and Time-Series in Driverless AI
• Watch Replays from H2O World London 2018
• Watch “Democratizing Intelligence” by Sri Ambati, CEO &Founder
• Learn how PayPal is solving fraud with Driverless AI