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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.
Confidential2
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
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
Confidentia
l4
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”
Confidential5 Confidential5
Data + AI + People Transformations
Confidential6 Confidential6
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
Where is This Happening?
Confidential8
H2O.ai
is Empowering
Companies to
Be AI Companies
Some of the major Fortune
500 use H2O.ai
Top Banks
Top
insurance
companies
Top
Healthcare
companies
Confidential9
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
Confidential10
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
Confidential11
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
Confidentia
l12
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
Confidential13
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.
Confidentia
l14
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
Taking Your AI Journey.
Let’s have a conversation.
Confidential16
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
Confidential17
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
Confidential18
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?
Confidential19
Learn from others in the data
science community
3Communicate.
Community.
Share.
Learn from others.
Participate.
Confidential20
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
Confidential21
Regulations.Explain.
Document. Humans.
5Trust in AI
Understand and explain the
models. Use leading edge
technologies to guard for bias,
explain a model, and present this
to regulators
How Should This Look?
Let’s have a conversation.
Confidential23 Confidential23
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
Confidential24 Confidential24
H2O.ai has 10% of the World’s Leading Kaggle Grandmasters
Your AI Transformation is Backed by
the World Experts
Questions?
CONFIDENTIA
Thank you

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AI Transformation Guide from H2O.ai Leader

  • 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.
  • 2. Confidential2 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
  • 4. Confidentia l4 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”
  • 5. Confidential5 Confidential5 Data + AI + People Transformations
  • 6. Confidential6 Confidential6 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
  • 7. Where is This Happening?
  • 8. Confidential8 H2O.ai is Empowering Companies to Be AI Companies Some of the major Fortune 500 use H2O.ai Top Banks Top insurance companies Top Healthcare companies
  • 9. Confidential9 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
  • 10. Confidential10 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
  • 11. Confidential11 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
  • 12. Confidentia l12 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
  • 13. Confidential13 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.
  • 14. Confidentia l14 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
  • 15. Taking Your AI Journey. Let’s have a conversation.
  • 16. Confidential16 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
  • 17. Confidential17 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
  • 18. Confidential18 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?
  • 19. Confidential19 Learn from others in the data science community 3Communicate. Community. Share. Learn from others. Participate.
  • 20. Confidential20 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
  • 21. Confidential21 Regulations.Explain. Document. Humans. 5Trust in AI Understand and explain the models. Use leading edge technologies to guard for bias, explain a model, and present this to regulators
  • 22. How Should This Look? Let’s have a conversation.
  • 23. Confidential23 Confidential23 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
  • 24. Confidential24 Confidential24 H2O.ai has 10% of the World’s Leading Kaggle Grandmasters Your AI Transformation is Backed by the World Experts