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Article

How Open Source is Reshaping Society

Intuit experts discuss the many ways open source is positively impacting the tech sector. Learn more about how this movement is challenging traditional notions of development.

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Event Talk

AI for a Better World

Intuit's Chief Data Officer, Ashok Srivastava, discusses how AI can influence economic disparity at O'Reilly's Artificial Intelligence conference.

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Article

Knowledge Engineering

Intuit CIO, Bharath Kadaba, discusses how Intuit found a classical AI method that's key to disrupting highly complex financial services industry.

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Blog Post

What the F(p) is Kotlin?

Intuit software engineers Shelby Cohen and Katie Levy discuss leading the Kotlin Learning Community and the benefits that Kotlin has on their work at Intuit.

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Infographic

Solving Financial Challenges with Data Science

Learn how Intuit leverages tools like AI, ML, and NLP to help millions of Americans achieve financial freedom.

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Innovative web, mobile, and cloud solutions

Use AI and emerging tech to solve our customers’ biggest financial challenges
  • Empowering small businesses and the self-employed with technology

    50% of small businesses fail within their first five years. But our QuickBooks ecosystem continuously evolves to lower those odds. See examples of how our teams are using emerging technologies like machine learning, natural language processing, and conversational UI to help small businesses and the self-employed achieve their dreams of prosperity.

    Helping our self-employed customers save money with Machine Learning

    ExpenseFinder is a feature that automatically pulls a year's worth of bank transactions and automatically finds deductible business expenses through our machine learning algorithm. On average, users find $4,300 average in business expenses.

    Making small business accounting easier with Conversational UI

    QuickBooks Assistant is a chatbot that combines data-driven insights and natural language processing to ease business operations by merely asking questions or stating requests, using a smartphone. The service understands intent and identifies context to uncover numerous financial data points – from tax obligations to expense tracking, cash flow, profitability and more.

    Leveraging Natural Language Processing to power sentiment analysis

    We created a natural language processing system to analyze the sentiment in a customer’s speech and text, identifying different emotions and then flagging those emotions to a customer care agent so that the care agent can respond to the customer appropriate to the customer’s emotional state.

  • Giving taxpayers more time, money, and confidence with technology

    The tax refund check is the biggest boost millions of Americans get to their income for the entire year. Our customers depend on tax refunds to pay their rent, tuition or medical bills and better understand their needs. When customer empathy drives innovation, the result is technology like live video advice from a tax expert. And taxes become simpler for even the most inexperienced taxpayer.

    Reducing the time it takes to file taxes with Knowlege Engineering

    We receive about 30M returns every year, each containing a very rich set of data points about demographic, economic and social trends that characterize our customers’ financial lives. By leveraging machine learning and combining it with the representation of the entire Tax Code, we are helping to reduce the time it takes to file taxes and increase a user’s confidence in accurately filing their taxes.

    Using ML to answer customer questions efficiently

    To connect customers to the right agent to meet their needs, we're using a data-driven pipeline to map the customer profile and question to an appropriate customer care agent. Using a machine learning algorithm trained with historical interactions between customers and agents, we've increased expert and customer sentiment, as well as material cost savings and efficiency improvements.

    Eliminating manual data entry with Information Extraction

    Using a shallow neural network with optical character recognition and image processing, we are able to perform automatic information extraction from document images, eliminating manual data entry and security issues in repetitive, manual data handling. This technology allows you to snap a photo of your W-2 or tax forms, and extract individual data field and upload the data automatically to TurboTax.

  • Helping individuals take control of their personal finances

    With more than 10 million active users, Mint is America’s most popular personal finance app. Our Mint team has transformed personal finance for millions with a beautiful, lifestyle-inspired UI that let’s our customers effortlessly manage their finances all in one place. Powered by technology, Mint brings together everything from balances and bills to credit scores and more, giving customers the insights they need to take control of their finances.

Award-winning teams

We're honored to be recognized as one of the top tech companies to work for

  • Fortune's 100 Best Companies to Work For

  • Fast Company's 50 Best Workplaces for Innovators

  • Glassdoor's Best Places to Work, Employee's Choice

  • Fortune's Best Workplaces in Technology

Our employees recommend working here

4.4 rating on Glassdoor

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The people behind our innovation

View other stories from Intuit

    Natalie

    Conrad

    Maya

  • Natalie

    Visual Designer, QuickBooks Online

    "Intuit is a very encouraging space. It's a safe space to make mistakes and grow, and I think it’s rare to find that. There’s this never ending learning process that's invigorating and energizing."

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  • Conrad

    Data Scientist, Machine Learning Futures

    "A lot of research departments are fully focused on research and never really touch any practical issues, but our team still stays grounded in solving real problems for real people, and we also get to explore the latest cool emerging tech."

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  • Maya

    Software Engineer, QuickBooks Live

    "I never really saw myself in tech due to a lack of representation and exposure. Now working at Intuit, I feel like I’m fully confident in my abilities. I’m making stuff for the customer, I’m doing what I love, and I also get to help other people."

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