Ashok Srivastava at AI Frontiers : Using AI to Solve Complex Economic Problems

AI Frontiers
AI FrontiersAI Frontiers
Ashok Srivastava
Senior Vice President & Chief Data Officer
November 9, 2018
Using AI to Solve Complex
Economic Problems
2
3
Who we serve
Consumers Small Businesses Self-Employed
4
Our mission
Powering prosperity around the world
5
People and small businesses struggle with
the complexity of financial transactions
6
A 45 year old today has
the same amount of
student loan debt as a 27
year old in 2004.
Report on the Economic Well-Being of U.S.
Households in 2017, Board of Governors of the
Federal Reserve System
44% cannot come up with
$400 for an emergency.
50% of small businesses
go out of business in the
first
5 years.
Quarterly Report on Household Debt and Credit
2017:Q2, Federal Reserve Bank of New York
Research and Statistics
Small Business Administration, October 2017
Debts are
increasing
People aren’t
saving
Businesses aren’t
thriving
7
Using AI to address financial problems
Human-Level
Financial AI
Intelligent Systems
Contextual
Inference
Virtual
Advisor
Information
Parsing
2. FINANCIAL KNOWLEDGE
GRAPH
3. MACHINE
LEARNING
Representation of
financial properties
and the relations
between them
1. DATA
Rich and accurate
datasets capturing the
essential information
about the financial
life of our customers
4. NATURAL
LANGUAGE
PROCESSING
Extract semantic and
intent from a piece
of language and
convert information
into natural language
Derive insights and infer
logic from data
8
Proactively managing financial risk with AI
Common causes for small business failure
• Lack of experience
• Lack of sales
• Competition
• Insufficient capital
• Poor location
• Poor inventory management
• Over-investment in fixed assets
• Poor credit arrangements
• Personal use of business funds
• Unexpected growth AI flywheel for small business
9
The AI flywheel for finance
Powered by large-scale machine learning for a seamless and delightful UX
AI flywheel
Endpoints
Device-facing
Enterprise-facing
Technology enablers include:
10
With AI, Intuit delivers:
• More money
• Less effort
• Complete confidence
11
CUSTOMER BENEFIT
MORE MONEY
Average user finds $4,628 in tax savings using QBSE
NO WORK
70M+ hours/year of tedious work saved in QuickBooks, and Mint
COMPLETE CONFIDENCE
More accurate than manual entry … compliant with tax codes
AI/ML automates financial tracking in multiple products
13.4 million QuickBooks and Mint
customers can automatically
categorize 250B transactions per year
with >90% accuracy.
12
AI/ML in QuickBooks Capital funds underserved small businesses
Determines credit worthiness
using cash flow trends from
QuickBooks data.
MORE MONEY
Funds needed to grow and smooth cash flow bumps
NO WORK
Automatically pulls QuickBooks data
COMPLETE CONFIDENCE
Error-free automatic application
CUSTOMER BENEFIT
13
• Learning, representing knowledge, and reasoning across vast data sources
• Self-configuring software
• Personalization and recommendations
Knowledge Engineering
Explicitly represents human knowledge
and relationships in data
Machine Learning
Unlocks increasingly harder
customer problems
Reasoning System
Synthesizes human knowledge and
data to make decisions
Other AI/ML topics we’re pursuing to revolutionize Intuit customer
experiences
14
Thank you
1 of 14

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Ashok Srivastava at AI Frontiers : Using AI to Solve Complex Economic Problems

  • 1. Ashok Srivastava Senior Vice President & Chief Data Officer November 9, 2018 Using AI to Solve Complex Economic Problems
  • 2. 2
  • 3. 3 Who we serve Consumers Small Businesses Self-Employed
  • 5. 5 People and small businesses struggle with the complexity of financial transactions
  • 6. 6 A 45 year old today has the same amount of student loan debt as a 27 year old in 2004. Report on the Economic Well-Being of U.S. Households in 2017, Board of Governors of the Federal Reserve System 44% cannot come up with $400 for an emergency. 50% of small businesses go out of business in the first 5 years. Quarterly Report on Household Debt and Credit 2017:Q2, Federal Reserve Bank of New York Research and Statistics Small Business Administration, October 2017 Debts are increasing People aren’t saving Businesses aren’t thriving
  • 7. 7 Using AI to address financial problems Human-Level Financial AI Intelligent Systems Contextual Inference Virtual Advisor Information Parsing 2. FINANCIAL KNOWLEDGE GRAPH 3. MACHINE LEARNING Representation of financial properties and the relations between them 1. DATA Rich and accurate datasets capturing the essential information about the financial life of our customers 4. NATURAL LANGUAGE PROCESSING Extract semantic and intent from a piece of language and convert information into natural language Derive insights and infer logic from data
  • 8. 8 Proactively managing financial risk with AI Common causes for small business failure • Lack of experience • Lack of sales • Competition • Insufficient capital • Poor location • Poor inventory management • Over-investment in fixed assets • Poor credit arrangements • Personal use of business funds • Unexpected growth AI flywheel for small business
  • 9. 9 The AI flywheel for finance Powered by large-scale machine learning for a seamless and delightful UX AI flywheel Endpoints Device-facing Enterprise-facing Technology enablers include:
  • 10. 10 With AI, Intuit delivers: • More money • Less effort • Complete confidence
  • 11. 11 CUSTOMER BENEFIT MORE MONEY Average user finds $4,628 in tax savings using QBSE NO WORK 70M+ hours/year of tedious work saved in QuickBooks, and Mint COMPLETE CONFIDENCE More accurate than manual entry … compliant with tax codes AI/ML automates financial tracking in multiple products 13.4 million QuickBooks and Mint customers can automatically categorize 250B transactions per year with >90% accuracy.
  • 12. 12 AI/ML in QuickBooks Capital funds underserved small businesses Determines credit worthiness using cash flow trends from QuickBooks data. MORE MONEY Funds needed to grow and smooth cash flow bumps NO WORK Automatically pulls QuickBooks data COMPLETE CONFIDENCE Error-free automatic application CUSTOMER BENEFIT
  • 13. 13 • Learning, representing knowledge, and reasoning across vast data sources • Self-configuring software • Personalization and recommendations Knowledge Engineering Explicitly represents human knowledge and relationships in data Machine Learning Unlocks increasingly harder customer problems Reasoning System Synthesizes human knowledge and data to make decisions Other AI/ML topics we’re pursuing to revolutionize Intuit customer experiences