H2O.ai provides open source machine learning platforms and enterprise AI solutions that help companies implement artificial intelligence. It offers tools for data scientists to build models using Python and R and also provides support services to help customers successfully deploy models in production. H2O.ai aims to democratize AI and help companies become AI-driven by leveraging its experts, community knowledge, and world-class technology.

1. H2O.ai Empowers an AI Transformation
Presented by: eRic Choo, MBA
Technical Business Development Manager

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H2O.ai is the open source leader in AI
and Machine Learning
Democratize AI for Everyone
Make Your Company an AI Company
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Industry 4.0 describes the trend where automation powered by data may be able to perform everyday
tasks. It is blurring the lines between the physical, digital and biological worlds. It also refers to the
blending of two or more technologies such as genetic engineering, materials science, Artificial
Intelligence (AI), advanced manufacturing and the Internet of Things (IoT) to result in innovations and
solutions. Industry 4.0 has ushered in the digital economy where technology is ubiquitous, driving
transformative change in the way we live and radically disrupting every business sector.
SGINNOVATE, (2020), “Industry 4.0: Singapore’s Strategy”, 20 February 2020, [online]. Available at https://www.sginnovate.com/blog/industry-40-singapore’s-strategy
Industry 4.0: Singapore’s Strategy
Spectral Engines Oy, (2018), “Industry 4.0 and how smart sensors make the difference”, 26 February 2018, [online].
Available at https://www.spectralengines.com/articles/industry-4-0-and-how-smart-sensors-make-the-difference

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Closer to i4.0: How is AI improving Manufacturing?
• Machinery Maintenance and Quality are
the leading AI transformation projects in
manufacturing operations today.
• Caterpillar's Marine Division is saving
$400K per ship per year after machine
learning analysed data on how often hulls
should be cleaned for maximum efficiency.
• The BMW Group uses AI to evaluate
component images in ongoing production
lines to spot deviations from the standard
in real-time.
• Improving demand forecast accuracy is
showing solid results across multiple
industries with Consumer-Packaged Goods
manufacturers leading all others. – Danone
Group
Columbus, L., (2020), “10 Ways AI Is Improving Manufacturing In 2020”, 18 May 2020, [online]. Available at
https://www.forbes.com/sites/louiscolumbus/2020/05/18/10-ways-ai-is-improving-manufacturing-in-2020/#66cc30891e85

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AI in Manufacturing: In a nutshell
$
Introducing AI into
different aspects of
a manufacturing
process can
potentially reduce
running cost in
terms of maintaining
asset machineries
and material usual.
AI on the other hand
can maximise yield
performance of a
manufactured
product in many
ways.

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Data + AI + People Transformations

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CPO Refinery Process (producing better quality of
CPO)Incomingandunloading
0.5% moisture
oven
weighing
Unloading area
Storage tank
Transfertoprocess
Refinery Process
Filtration (5μm)
Not more
than 265℃
PLC with
SCADA for
monitoring
RTD sensors
to measure
final
temperature
Passthroughdifferent
filtrationprocess
Furtherremove
moisture
Leaf Filter Process
Dryer Tank
Pressure Sensor
(Outlet vs Inlet)
Hourly Delta
measurement
CPO

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Biodiesel (FAME) and Glycerin Process (FAME
process optimisation)
Incoming
Chemical Refining
Trans-esterification
Washing Drying
Catalyst
(fats & Methanol)
Biodiesel
(FAME)
Glycerin (Detergent)

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Robotic Welding Arm
Welding
process
Photodiode
Camera /
Image
Processing
Visible Light
Emission
Plume and
Molten Pool
Feature
Keyhole
Feature
Time Domain
Frequency
Domain
Feature
Vector
Machine
Learning
Algorithm
Welding
Status
Prediction
Training
Yetkin, C., (2019), “Application of Machine Learning and AI in Industrial Welding”, 28 January 2019, [online]. Available at
https://datapao.com/application-of-machine-learning-and-ai-in-industrial-welding/
Monitor & raise
alarms
-online-
Compute
model
-offline-
ABB Robotic, (2013), “ABB Robotics - Welding Scooter & Motorcycle Frames”, [youtube-online].
Available at https://www.youtube.com/watch?start=21&feature=oembed&v=tRuqb6wquig

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Our AI and ML
Platforms.
The leading and visionary platforms today.

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Model Development Model Deployment
H2O MOJO
Model Object
Smartphone Watch
Factory
T-Shirt
Engine
Predictive Maintenance
Direct plugin to
Edge & IoT Production Cases
Learning Feedback Loop
From Model to Production Deployment on Edge
Load
Data
Run
AutoML
Winning Model
Generated

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Driverless AI Solves Talent, Time,
Trust Challenges
Explainable AITop 10 Experts
Data science experts and
Kaggle Grandmasters built
the tips and techniques
within the platform.
Months to Hours
Driverless AI has the
technology that accelerates
the data science workflow.
Technology that provides
interpretability, reason codes,
visualization, and easy to
read documentation.

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Goal:
Focus and Ensure Customer Success that results in overall
happiness leading to expansion of product usage.
• Resolution of technical errors via the Support Portal, e-mail, or phone
• Installation support
• Assignment of an H2O Program Manager
• Regular cadence with H2O Team
• Access to H2O Data Scientist and Engineers for guidance and support on model
implementation and production
Roles and Responsibilities
• Ensure
Success
• Monitor
Delivery
• Know the
Customer
• Manage
Documentation
• Engage
Stakeholders
• Secure
Resources
• Establish a
Cadence
Key Performance Indicators
• Models in Production or business outcomes affected
• Customer Success/Happiness Index (Net Promoter Score)
• Expansion of Product Value and Usage
• Referenceable Customer
• Visibility to the highest Ranking Executive Champion (Closest to CEO or
• CXO)
Where We Engage?
• On-Boarding • Touch Points • Support
Tickets
• Customer
Training &
Activities
• Expansion
and
Renewals
H2O.ai Customer Success Team

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H2O.ai: AI and ML Platforms – Open Source
• 100% open source – Apache V2 Licensed
• Enterprise support subscriptions
• Interface using R, Python on H2O Flow
H2O Enterprise Support
delivers the training, support and optimization
services you need to go faster and deliver results
in enterprise production environments for H2O,
H2O Sparkling Water and H2O4GPU.
Enterprise Steam (available w/Enterprise Support)
Secure, Self-Service Artificial Intelligence
Environments with Comprehensive IT Control
In-memory, distributed
machine learning algorithms
with H2O Flow GUI
H2O AI open source engine
integration with Spark
H2O4GPU is an open
source, GPU-accelerated
machine learning package
with APIs in Python and R
that allows anyone to take
advantage of GPUs to build
advanced machine learning
models.
web-based interface of H2O
allowing users to explore all
available features and
algorithms within H2O 3

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We
Partner
to Make Your
Company an
AI Company
We will guide you on
your AI journey
Your AI Journey
Access our expert data
scientist, software
developers and Kaggle
Grandmasters
Experts
We reference learnings
from our customers,
community and hundreds
of successful use cases
and lend our experience to
you
Empathy
We work with your domain
experts and data scientists
to become AI experts
We offer world class
technology and support
Teach
World Class Technology
We will work with you on
innovative AI and new business
models (JV, rev share)
Your Future

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Thank you