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Detect Financial Fraud with Data Science and AI
Hosted By: Koverse, SAIC, Tableau Software & 探花视频
Amid the rise of financial fraud in the post-pandemic world, organizations need secure, scalable, and robust methods to mitigate risks. Using SAIC鈥檚 Tenjin鈩� Artificial Intelligence (AI) Platform, the highly secure Koverse Data Platform, and Tableau, stakeholders can quickly and easily gain more accurate and informative insights from complex and disparate data sources. This use case will identify predictors of fraudulent transactions, which can then be used to support classifying new transactions.
Attendees of this session learned how to:
- Automate and accelerate mission-driven AI to train and produce models
- Prototype and productionize multiple use cases with low-code or no-code capabilities
- Apply Zero Trust security principles to data with attribute-based access controls (ABAC) to safely work with complex and sensitive data
- Leverage dynamic visualizations to develop common operating pictures and business intelligence dashboards
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