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Interpretable and resilient AI for financial services / Jari Koister.
- Format:
- Video
- Author/Creator:
- Koister, Jari, on-screen presenter.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Machine learning.
- Finance--Data processing.
- Finance.
- Strata Conference (2019 : San Francisco, California).
- Strata Conference.
- Physical Description:
- 1 online resource (1 streaming video file (47 min., 32 sec.)) : digital, sound, color
- Other Title:
- Interpretable and resilient Artificial Intelligence for financial services
- Place of Publication:
- [Place of publication not identified] : O'Reilly Media, 2019.
- Summary:
- "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 (FICO) shares forward-looking tools and infrastructure has developed to support these needs. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco."--Resource description page.
- Participant:
- Presenter, Jari Koister.
- Notes:
- Title from title screen (viewed January 10, 2020).
- OCLC:
- 1135503488
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