Difference between revisions of "Finance & Accounting"
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* [http://technology.finra.org/articles/unlocking-unstructured-data-with-text-analysis.html FINRA Technology | Dmytro Dolgopolov] | * [http://technology.finra.org/articles/unlocking-unstructured-data-with-text-analysis.html FINRA Technology | Dmytro Dolgopolov] | ||
* [http://www.finextra.com/blogposting/15713/ai-and-ml-in-financial-services-compliance-management-use-cases-for-the-regulators AI and ML in Financial Services Compliance Management: Use Cases for the Regulators] | * [http://www.finextra.com/blogposting/15713/ai-and-ml-in-financial-services-compliance-management-use-cases-for-the-regulators AI and ML in Financial Services Compliance Management: Use Cases for the Regulators] | ||
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| + | * Areas where AI can contribute to compliance efficiency and effectiveness. [http://www.telemessage.com/revolutionizing-compliance-financial-industry-using-artificial-intelligence/ These includes:] | ||
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| + | ** NLP solutions can ‘read’ such documents and perform a range of tasks including extracting metadata, identifying entities that are referred to, and ‘understanding’ the intent or purpose of specific parts of the document. | ||
| + | ** Know Your Customer Process – AI’s ability to analyze the vast amount of data and find patterns can create a more streamlined KYC process. By using algorithmic machine learning models, firms can generate risk profiles of individuals in just minutes. | ||
| + | ** Money Laundering Detection – Using AI, firms can evaluate monitoring reports, news items, and regulatory alerts, and further analyze those that indicate the highest risk exposures. | ||
| + | ** Rogue Employee Detection -AI can be used to identify employees that create fake accounts by tracking multiple accounts using the same email or IP address. | ||
| + | ** Trade Monitoring – Through AI, regulatory bodies can learn traders’ personalities and behavior which increase the precision of identifying suspicious trading. | ||
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<youtube>GiwbiISuiwQ</youtube> | <youtube>GiwbiISuiwQ</youtube> | ||
Revision as of 20:10, 24 March 2019
Youtube search... ...Google search
- Case Studies
- {http://www.dataserv.com/solutions/3-way-match Touchless Invoice Processing with AutoVouch]
- Facial Recognition in Banking – Current Applications | Niccolo Mejia
- AI in Accounting: How Artificial Intelligence & Machine Learning Technology Has Changed the Industry | Faith Kubicki
- FINRA Technology | Dmytro Dolgopolov
- AI and ML in Financial Services Compliance Management: Use Cases for the Regulators
- Areas where AI can contribute to compliance efficiency and effectiveness. These includes:
- NLP solutions can ‘read’ such documents and perform a range of tasks including extracting metadata, identifying entities that are referred to, and ‘understanding’ the intent or purpose of specific parts of the document.
- Know Your Customer Process – AI’s ability to analyze the vast amount of data and find patterns can create a more streamlined KYC process. By using algorithmic machine learning models, firms can generate risk profiles of individuals in just minutes.
- Money Laundering Detection – Using AI, firms can evaluate monitoring reports, news items, and regulatory alerts, and further analyze those that indicate the highest risk exposures.
- Rogue Employee Detection -AI can be used to identify employees that create fake accounts by tracking multiple accounts using the same email or IP address.
- Trade Monitoring – Through AI, regulatory bodies can learn traders’ personalities and behavior which increase the precision of identifying suspicious trading.
