Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
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Interpretable and resilient AI for financial services

Jari Koister (FICO )
11:00am11:40am Wednesday, March 27, 2019
Secondary topics:  Ethics, Financial Services
Average rating: ****.
(4.33, 3 ratings)

Who is this presentation for?

  • VPs of product and technology



Prerequisite knowledge

  • A basic understanding of machine learning and analytics systems

What you'll learn

  • Understand how AI is applied in financial services, why explainability and resiliency are important, and how an organization should approach explainability and resiliency


Financial services are increasingly deploying AI models and services for a wide range of applications in the credit lifecycle, such as credit onboarding and identifying transaction fraud and identity fraud. These models must be interpretable, explainable, and resilient to adversarial attacks. In some situations, regulatory requirements apply that prohibit black-box machine learning models.

Jari Koister shares forward-looking tools and infrastructure has developed to support these needs.

Topics include:

  • Examples of financial services applications of AI and ML
  • Specific needs for explainability and resiliency
  • Approaches for solving explainability and resiliency
  • Regulatory requirements and how to meet them
  • A platform that provide support for xAI and mission-critical AI
  • Further research and product development directions

Jari Koister


Jari Koister is the vice president of product and technology at FICO. He also teaches in the Data Science Program at UC Berkeley. Previously, he has, among other things, led the development of Chatter, Salesforce’s social enterprise application and platform; founded and served as CTO at, an early social enterprise collaboration company (acquired by Salesforce); founded and served as CSO and CTO at, an elastic platform for broadcasting sports events live on the internet; led the development of CommerceOne’s flagship product MarketSite; and led research in computer languages and distributed computing at Ericsson Labs and Hewlett-Packard Laboratories. Jari holds a PhD in computer science from the Royal Institute of Technology, Stockholm, Sweden.