Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Machine learning at Intuit: Five delightful use cases

Calum Murray (Intuit)
12:05–12:45 Thursday, 24 May 2018
Data science and machine learning, Streaming systems and real-time applications
 Location: Capital Suite 12 Level: Intermediate
Secondary topics:  Financial Services
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Who is this presentation for?

  • Data scientists, product managers, and engineers

Prerequisite knowledge

  • A basic understanding of machine learning

What you'll learn

  • Explore five machine learning use cases at Intuit

Description

Machine learning-based applications are becoming the new norm. Calum Murray shares five use cases at Intuit that use the data of over 60 million users to create delightful experiences for customers by solving repetitive tasks, freeing them up to spend time more productively or solving very complex tasks with simplicity and elegance.

  • Managing transactional risk: Using real time models to score transactions
  • Automating financial transaction categorization: Looking at both transaction features and the parties involved to categorize
  • Personalization: Discerning small business characteristics from users’ histories to personalize experiences
  • Matchmaking: Helping participants in the small business ecosystem find the right accountant, the right vendor, or new customers
  • Predictions and insights: Turning data into actionable predictions for the customer
Photo of Calum Murray

Calum Murray

Intuit

Calum Murray is the chief data architect in the Small Business Group at Intuit. Calum has 20 years’ experience in software development, primarily in the finance and small business spaces. Over his career, he has worked with various languages, technologies, and topologies to deliver everything from real-time payments platforms to business intelligence platforms.