Nearly half of all small businesses fail within their first 5 years. However, AI-driven solutions can help solve complex economic problems for consumers and small businesses like missed bill payments, insufficient capital, overinvestment in fixed assets, and more. Ashok Srivastava discusses technology's role in solving economic problems and details how Intuit is using its unrivaled financial dataset to power prosperity around the world. Leveraging technology enablers like deep learning, natural language processing, and automated reasoning and combining with a delightful end-user experience and sophisticated UX, Intuit is using technology to help its users have more confidence in their financial management.

1. Ashok Srivastava
Senior Vice President & Chief Data Officer
November 9, 2018
Using AI to Solve Complex
Economic Problems

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Who we serve
Consumers Small Businesses Self-Employed

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Our mission
Powering prosperity around the world

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People and small businesses struggle with
the complexity of financial transactions

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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

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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

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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

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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:

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With AI, Intuit delivers:
• More money
• Less effort
• Complete confidence

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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.

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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

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• 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

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Thank you