FDIC DOF Artificial Intelligence Machine Learning

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FDIC DOF Artificial Intelligence Machine Learning
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
FDIC DOF Artificial Intelligence Machine Learning
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
FDIC DOF Artificial Intelligence Machine Learning
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
FDIC DOF Artificial Intelligence Machine Learning
Defining AI & Examples

 F. El-Masri: AI Presentation 7/12/2021
FDIC DOF Artificial Intelligence Machine Learning
Difference Between AI, ML, DL

F. El-Masri: AI Presentation 7/12/2021
FDIC DOF Artificial Intelligence Machine Learning
AI Matters
   Difference between Humans & Machines

F. El-Masri: AI Presentation 7/12/2021
FDIC DOF Artificial Intelligence Machine Learning
Difference between Statistics and ML

F. El-Masri: AI Presentation 7/12/2021
FDIC DOF Artificial Intelligence Machine Learning
Different Types of Machine Learning

F. El-Masri: AI Presentation 7/12/2021
FDIC DOF Artificial Intelligence Machine Learning
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
FDIC DOF Artificial Intelligence Machine Learning
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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