This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
1. Parul Pandey
Data Science Evangelist,H2O.ai
AI Transformation
H 2 O . a i G u i d a n c e
H2O.ai is a visionary and market
leader in AI and machine learning
helps transform companies into AI
companies. We provides expertise to
guide our customers as partners
through this AI transformation.
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Founded in Silicon Valley 2012
Funding: $147M | Series D
Investors: Goldman Sachs, Ping An,
Wells Fargo, NVIDIA, Nexus Ventures
Company
Products
Global
H2O Open Source Machine Learning
H2O Driverless AI: Automatic Machine Learning
H2O Q: AI platform for business users
Mountain View, NYC, London, Paris,
Ottawa, Prague, Chennai, Singapore
220+ 1K
20K 180K
Universities
Companies Using
H2O Open Source
Meetup Members
Experts
H2O.ai Snapshot
3. Democratizing AI for All
Our mission to democratize AI
permeates into everything we do
AI Transformations
Bringing AI to Industry by helping
companies transform their
businesses with H2O.ai
Business
AI4GOOD
Bringing AI to Impact by augmenting
non-profits and social ventures with
technological resources and
capabilities
Impact/Social
AI4EVERYONE
An industry leader in open-source
tools, providing cutting edge AI &
ML toolkits via H20-3
People
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Key Market Trends in Data Science:
WHAT WE HEAR FROM THE MARKET
”AI is graduating from the innovation
labs to the entire enterprise.”
“Companies are “betting the farm” on AI. They’re
looking for partners to make them an AI
company for competitive advantage."
“Change management is a big concern for
companies. AI is no longer a technology
problem, but a cultural problem.”
“Transformation is occurring across all lines
of business.”
“Make AI accessible for business users”
“Customers are asking for vertical AI solutions”
“Infrastructure neutrality is important for enterprises
Explaining AI to business is important,
Operationalizing models is key”
“Model factories across the enterprise”
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AI Transformation
Why Now?
1950s 1980s
2000s 20202010s
Digital
transformation
AI
transformation
• Math, statistics • Expensive computing
• Early AI in research
• CPU and storage
enterprise wide
• IoT begins
• Big Data (Hadoop)
• Rise of GPUs for AI
• Efficient storage
• Faster compute
• IoT miniaturization
• Networks everywhere
• Data science skills
• Public cloud emerges
Businesses are ready for an AI transformation
Perfect storm
ü Open source algorithms
& frameworks
ü High performance and
cost-effective compute
& storage
ü Advanced data science
skills available
ü More data than ever before
ü AI can solve complex
business problems
ü Fast on ramp & cloud economics
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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.
Your Future
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Saving Lives
Supply Chain
Optimization
Digital Marketing
Insurance
Underwriting
Fraud Detection
Customer ChurnModel BuildingDebt Scoring
Propensity to
Lease
Bad credit
detection
+700%
Marketing
Campaign
Effectiveness
$20M/year
Savings
+2X
Effectiveness in
Identification
25%
Time Reduction in
Planning
10%
Increase in Sepsis
Detection
$10M/month
Debit Reduction
$1.5M/month
Call Center Savings
50%
Time Reduction in
Model Building
25%
Increase
Customer Churn
Prediction
8%
More Accurate
Predictions of Bad
Credit
H2O.ai
Helping
Customers
Win
With AI
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Finance
• Customer example
Cash forecasting for
payroll
Use case 2
Use Case 3
Use case 4
Broker Performance
Prediction
Leverage unstructured data to
overhaul the broker
performance forecasting tools
Human
Resources
AI Enhanced
Performance Review
Utilize NLP to quantitatively
review free form employee
performance reviews
Attrition
Prediction
Identify employees likely to
leave the firm in order to
intervene preemptively
Recruiting Optimization
Candidate Identification,
Outreach and
Engagement
Identify successful hires, key
characteristics, then
algorithmically search to identify
potential top candidates then
optimize recruiting &
engagement methodologies
through automl
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Audit
Leverage H2O deep audit
automation experience to
optimize audit functions
Intelligent
Automation
Leverage AutoML to deploy
sweeping intelligent
automation to tackle CFO
offices from spending 80%
of their time on collection
& aggregation of data
Pricing Optimization
AI augmented pricing for
real-time, adaptive, and
intelligent pricing
optimization
FINANCEForecasting for Payroll
Leverage unstructured & high
dimensional data to improve
forecasting
Financial Crime
Embezzlement & Fraud
AI to automate forensic
accounting and real time
monitoring for anomaly detection
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Finance
• Customer example
Cash forecasting for
payroll
Use case 2
Use Case 3
Use case 4
Cloud (EC2) Budget
Prediction
Leveraging time series &
regression capabilities to
drive deeper insight into cloud
budget
IT &
Operations
Cyber Security &
Threat Detection
ML has shown significant
success in predictive ability for
real time monitoring of cyber
security threats
AI Remediation &
Alerts
Deploying AI to the IT Ops alert
system to effectively prioritize
and triage tech issues
Web Downtime +
Outages
Leverage AutoML to drive
deeper accuracy into predicting
downtime or outages in web
applications, pages, and
connections to improve
business continuity and user
experience.
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Fiduciary Duty
Leverage advanced NLP to
determine if advisors are
acting in their fiduciary duty
to customers or anomalous
behavior
Transfer Agent
Automation
Utilize AI to significantly cut
down the amount of
human time required to
oversee transfer agent
duties like recordkeeping,
communications, tracking,
and transfers.
Auto-Disclose
Leverage real time AI to
determine if the necessary
reps are reading their
necessary legal disclosures
with all customers
Customer
Support
Improve Customer
Experience
Maximize customer experience
by leveraging AutoML to find
customer call-in paths to
automate & streamline
Call Center
Optimization
Leverage AI to identify high
value or high risk call center
situations and support call
center reps
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Who is on the team?
Business leader, data
scientists, IT professional
Determine the problems you
want to solve with metrics (time,
money, # of customers, etc)
Determine where you have
data, need data, and can
use technology to find
answers and predictions.
Find answers efficiently.
Learn from others in the
data science community
Ask the Right Questions
Data & Technology
Community
Create a Data Culture
Understand and explain the
models. Use leading edge
technologies to guard for
bias, explain a model, and
present this to regulators
Trust in AI
2
1
3
4
5
5 Key
Steps
in Your AI
Journey
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Machine learning is as much a
cultural transformation as a
business transformation.
Data is a team sport.
Understand the processes and
culture changes.
1Create a
data culture
IT Leader
Data Scientist
Business Leader
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Determine the problems you
want to solve with metrics.
2Ask the Right
Questions
Optimize processes?
Innovate to create new products?
Save time? Increase or reach new customers?
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Build or Buy?Open Source?
Cloud on on-prem?
Determine where you have data, need
data, and can use technology to find
answers and predictions. Find answers
efficiently.
Data. Data. Data.
4Technology
Considerations
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Engagement Cycle
d
1. Data Assessment 2.Use Case Workshops
With H2O.ai Experts
3.Accelerated Model
Development via Driverless AI
Get the Free Trial Today!
4. Model Deployment
5. Goal Setting
(Revenue Increase or Cost
Decrease)
Our team rapidly iterates through 5 key steps alongside stakeholders for each use case to focus on
tangible, measurable results and turnkey work products