FDIC DOF Artificial Intelligence Machine Learning
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Artificial Intelligence Machine Learning @ FDIC DOF Dr. Fatena El-Masri, PhD Computational Science and Informatics, GMU Master of Finance, GWU PhD AI Face Recognition, NSW University, Australia (ABD) Master of Engineering, Sydney University, Australia F. El-Masri: AI Presentation 7/12/2021 Disclaimer: This PPP is only the author’s view of using AI/ML
Objectives 1. Brief History of AI 2. Definition & Examples of AI 3. Difference Between AI, ML, DL 4. AI Matters 5. Difference between Statistics and ML 6. Different Types of Machine Learning 7. Why AI matters to DOF – Accounting 8. Why AI Matters to DOF - Auditing 9. How I used AI 10. Where is AI Going Next? 11. Any Questions F. El-Masri: AI Presentation 7/12/2021
Brief History of AI • Recent movie of his life - “The Imitation Game” • Created “Christopher” to break WWII German encryption “Enigma” • Established standard for AI systems Alan Turing “Does the AI system demonstrate human intelligence?” (1912-1954) Turing Test During the Turing test, the human questioner asks a • Computer scientist who coined the term "artificial intelligence" series of questions to both in 1955 respondents. • Put AI theory into practical applications After the specific time, the questioner tries to decide • Created AI centers at Carnegie Mellon and MIT which terminal is operated John by theMcCarty human respondent (1927-2011) and which terminal is operated by the computer. F. El-Masri: AI Presentation 7/12/2021
Why AI Matters to DOF - Accounting Accounting and Auditing involves lots of repetitive work and processes. AI can provide savings in terms of time and money by optimizing the repetitive processes. AI can: • Gather and sort GL data • Automate the processing of data and uploading of documents • Cluster and segment information or files to classify according to the GL • Generate real-time reporting F. El-Masri: AI Presentation 7/12/2021
Why AI Matters to DOF - Auditing AI can assist with: • Insurance determinations by cross referencing accounts by type and/or amount, increasing accuracy • Detection of bank fraud: • Tools to use historical data to detect / track fraud annually • Use unstructured data (i.e. emails, voice, reports etc.) • Detect anomalies or any illegal trading or action F. El-Masri: AI Presentation 7/12/2021
AI & Automated Processes Robotic/Intelligent Process Automation (RPA) & (IPA) Natural Language Processing (NLP) Blockchain Future Present Past F. El-Masri: AI Presentation 7/12/2021
AI & Automated Processes Natural Language Processing (NLP) Robotic Automated Process RPA Financial Statements ChatBot Web Knowledge Financial Program Service Base Reporting FDIC Future Uses for AI Auditing ChatBot Another Another Budgets Analysis App?? App?? App?? Safety and Soundness of the corporation Automated GL Data Entries Unstructured Natural Advanced Data Language Financial Analytics Extraction Proc. (NLP) Regulations F. El-Masri: AI Presentation 7/12/2021
Robotic Process Automation(RPA) • Using RPA to automate business processes and data entries. • Through data analytics and engineering, some business processes could be modified to be more efficient and support different types of data analysis and work queries. • KPMG and IBM use RPA such as IBM Watson and Blue Prism to address the issues of data identification and extraction at a much faster pace than a human by automating and avoiding human errors. • RPA, in conjunction with Audit Process Automation (APA), helps reduce the extensive manual lift, which saves time and money associated with human capital and increases the quality of auditing services. • RPA enables informed decisions to be made based on data engineering and analysis of large, complex datasets. F. El-Masri: AI Presentation 7/12/2021
Natural Language Processing (NLP) NLP is used to extract all required information and to automate the processes in simple queries. It also helps establish the current and forecasted GL state for the Corporation. NLP is used to assess audit risk by understanding the entity and its environment, including the internal controls. NLP helps automate financial reporting as needed, particularly in financial statements. • NLP currently is heavily used for auditing and accounting for the following items: Auditing review and financial reporting Corporate financial performance Management’s assessment of the present and future performance Regulations standards and procedures Compliance standards and regulations F. El-Masri: AI Presentation 7/12/2021
AI Algorithms in A&A • AI is the optimum tool used in repetitive and time consuming data retrieval processes to assist with monthly reporting. • AI enables the SME to spend their time on strategic planning and other consumer or customer behavioral tasks. • A&A has already been using supervised machine learning algorithms in order to forecast and optimize a variety of different predictive models. • AI is used for audit mining to go through a massive amount of transactional data to provide more accurate and precise reconciliations. • AI is used for digital marketing and analytics to better predict operational efficiencies, improve trend analysis, and to optimize data in algorithmic models, producing gains in speed over traditional accounting and budgeting processes. • AI is widely used for better revenue improvement and funds allocations throughout the Corporation. F. El-Masri: AI Presentation 7/12/2021
How I Used AI Agent-Based Modeling to Predict Failing Banks: • Simulated 63m records of 6k banks (their assets, liabilities & equities) • Developed computational method for simulating actions/interactions of autonomous agents • Discovered contagion & cascading effect F. El-Masri: AI Presentation 7/12/2021
Where is AI Going Next? “I think the human and the computer are really, really quickly becoming one tightly- coupled cognitive unit.” Shimon Whiteson, Assoc. Prof. University of Amsterdam F. El-Masri: AI Presentation 7/12/2021
Thank you F. El-Masri: AI Presentation 7/12/2021
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