Near Real-time Fraud and Compliance Analytics Accelerator

The global fraud detection and prevention market was valued at USD 18.24 billion in 2020 and is expected to reach USD 40.8 billion by 2026 and grow at a CAGR of 18.17% over the forecasted period (2021-2026).

Fraud detection challenges for financial institutions:

Extremely high false positives
Missing insights from unstructured data
Need for business user driven solutions
Lack of insights from analytics
Out-dated rule based detection
Missing omni channel coverage
Delayed alert mechanism

63% of financial institutions believe that AI can prevent fraud

Benefits of ML and AI for fraud detection:

Faster and efficient detection
Increased accuracy
Better prediction
Cost-effective
Better classification
Easily scalable

License

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ""Software""), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED AS IS, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE

Contributing

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Trademarks

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