Difference between revisions of "Finance & Accounting"
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* [[Case Studies]] | * [[Case Studies]] | ||
| − | * | + | * [http://www.dataserv.com/solutions/3-way-match Touchless Invoice Processing with AutoVouch] |
* [https://emerj.com/ai-sector-overviews/facial-recognition-in-finance-current-applications/ Facial Recognition in Banking – Current Applications | Niccolo Mejia] | * [https://emerj.com/ai-sector-overviews/facial-recognition-in-finance-current-applications/ Facial Recognition in Banking – Current Applications | Niccolo Mejia] | ||
* [http://www.intellichief.com/ai-in-accounting/ AI in Accounting: How Artificial Intelligence & Machine Learning Technology Has Changed the Industry | Faith Kubicki] | * [http://www.intellichief.com/ai-in-accounting/ AI in Accounting: How Artificial Intelligence & Machine Learning Technology Has Changed the Industry | Faith Kubicki] | ||
Revision as of 14:15, 14 April 2019
Youtube search... ...Google search
- Case Studies
- 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. | Pinchas These include:
- NLP solutions can ‘read’ 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.
