Difference between revisions of "Finance & Accounting"
m (→Stock Prediction) |
m (→Application of ChatGPT) |
||
| Line 42: | Line 42: | ||
* [https://www.datarails.com/fpa-today-episode-47-glenn-hopper-using-chatgpt-to-build-an-fpa-tool-and-what-happened-next/ FP&A Today, Episode 47, Glenn Hopper: Using ChatGPT to Build an FP&A tool and What Happened Next | Jonathan Marciano - DataRails] | * [https://www.datarails.com/fpa-today-episode-47-glenn-hopper-using-chatgpt-to-build-an-fpa-tool-and-what-happened-next/ FP&A Today, Episode 47, Glenn Hopper: Using ChatGPT to Build an FP&A tool and What Happened Next | Jonathan Marciano - DataRails] | ||
| + | |||
| + | <youtube>4IzcGV6fCEA</youtube> | ||
<youtube>rBQYnL-CnMo</youtube> | <youtube>rBQYnL-CnMo</youtube> | ||
| − | |||
| − | |||
= Hindsight to Foresight = | = Hindsight to Foresight = | ||
Revision as of 08:40, 7 May 2023
Youtube search... ...Google search
- Case Studies
- Improper Payments
- Backtesting
- Deepindex.org list
- Request for Information and Comment on Financial Institutions' Use of Artificial Intelligence, Including Machine Learning A Notice by the Comptroller of the Currency, the Federal Reserve System, the Federal Deposit Insurance Corporation, the Consumer Financial Protection Bureau, and the National Credit Union Administration on 03/31/2021
- 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
- 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.
Digital Evolution: Financial Planning & Analysis
Application of ChatGPT
- Application of ChatGPT to Build an FP&A Tool | Glenn Hopper - GitHub
- A startup CFO used ChatGPT to build an FP&A tool—here’s how it went | Sheryl Estrada - Fortune
- Deep Finance: Corporate Finance in the Information Age | Glenn Hopper; finance professional and tech evangelist - Amazon
- FP&A Today, Episode 47, Glenn Hopper: Using ChatGPT to Build an FP&A tool and What Happened Next | Jonathan Marciano - DataRails
Hindsight to Foresight
