Difference between revisions of "Finance & Accounting"
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* [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] | ||
* [http://www.forbes.com/sites/bernardmarr/2019/06/14/the-amazing-ways-hitachi-uses-artificial-intelligence-and-machine-learning/#226d2de13705 Hitachi's H big data analysis engine; determine correlations, which can inform business decisions, forecasting, fraud detection, pricing | Bernard Marr - Forbes] | * [http://www.forbes.com/sites/bernardmarr/2019/06/14/the-amazing-ways-hitachi-uses-artificial-intelligence-and-machine-learning/#226d2de13705 Hitachi's H big data analysis engine; determine correlations, which can inform business decisions, forecasting, fraud detection, pricing | Bernard Marr - Forbes] | ||
| + | * [http://emerj.com/ai-sector-overviews/ai-startups-auto-lending AI Startups in Auto Lending – 2 Well-Funded Examples | Niccolo Mejia - Emero] | ||
| + | ** [http://www.zest.ai/ Zest] ZAML - the only way to get your ML credit models from the lab to production. | ||
| + | Reduce losses. Increase approvals. Fast. | ||
| + | ** [http://lendbuzz.com/ Lendbuzz] offers loans directly to consumers | ||
* [http://www.telemessage.com/revolutionizing-compliance-financial-industry-using-artificial-intelligence/ Areas where AI can contribute to compliance efficiency and effectiveness. | Pinchas] These include: | * [http://www.telemessage.com/revolutionizing-compliance-financial-industry-using-artificial-intelligence/ 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. | ** 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. | ||
Revision as of 14:00, 1 January 2020
Youtube search... ...Google search
- Case Studies
- Stock Market Trading
- Banking
- Deepindex.org list
- 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
- Hitachi's H big data analysis engine; determine correlations, which can inform business decisions, forecasting, fraud detection, pricing | Bernard Marr - Forbes
- AI Startups in Auto Lending – 2 Well-Funded Examples | Niccolo Mejia - Emero
- Zest ZAML - the only way to get your ML credit models from the lab to production.
Reduce losses. Increase approvals. Fast.
- Lendbuzz offers loans directly to consumers
- 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.
