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| Author : | Kelen Camehl, CPA, MBA |
| Course Length : | Pages: 73 ||| Word Count: 24,090 ||| Review Questions: 20 ||| Final Exam Questions: 20 |
| CPE Credits : | 4.0 |
| IRS Credits : | 0 |
| Price : | $35.95 |
| Passing Score : | 70% |
| Course Type: | NASBA QAS - Text - NASBA Registry |
| Technical Designation: | Technical |
| Primary Subject-Field Of Study: | Specialized Knowledge - Specialized Knowledge for Course Id 2267 |
| Description : | This course provides an overview of Artificial Intelligence (AI) in accounting. This course includes a detailed discussion of key AI concepts as well as its use in data analysis and reporting. This course also provides an overview of how organizations can implement AI solutions as well as the factors to consider when implementing these software solutions. This course concludes with a discussion of the common challenges and barriers to AI adoption. |
| Usage Rank : | 110000 |
| Release : | 2024 |
| Version : | 1.0 |
| Prerequisites : | None. |
| Experience Level : | Overview |
| Additional Contents : | Complete, no additional material needed. |
| Additional Links : |
Artificial Intelligence (AI): What It Is and How It Is Used
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| Advance Preparation : | None. |
| Delivery Method : | QAS Self Study |
| Intended Participants : | Anyone needing Continuing Professional Education (CPE). |
| Revision Date : | 17-Apr-2024 |
| NASBA Course Declaration : | Participants must complete the final examination within one year of purchase and with a minimum passing grade of 70% or better to receive CPE credit unless otherwise noted on the Course History page (i.e. California Ethics must score 90% or better). After logging in click on the Course History links on your My Courses page for the Begin date and Expire date for the Final Exam. |
| Approved Audience : | NASBA QAS - Text - NASBA Registry - 2267 |
| Keywords : | Specialized Knowledge, AI, Accounting, What, You, Need, Know, cpe, cpa, online course |
| Learning Objectives : |
Chapter 1
Chapter 2
Chapter 3
Chapter 4
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| Course Contents : | Chapter 1 - Introduction to Artificial Intelligence (AI) Learning Objectives Introduction AI Key Concepts Machine Learning Deep Learning Natural Language Processing Algorithms History and Evolution of AI Significance of AI in the Accounting Profession Conclusion Review Questions Chapter 2 - AI Technologies in Accounting Software Learning Objectives Introduction Traditional vs. AI Accounting Software Types of AI Accounting Software Automated Data Entry Tools Tax Preparation Software Financial Planning & Analysis (FP&A) Software Fraud Detection Software Expense Management Systems Robotic Process Automation Ethical Implications of Adopting AI Technologies Safeguarding Data Conclusion Review Questions Chapter 3 - Using AI for Data Analysis and Reporting Learning Objectives Introduction Using AI for Data Extraction, Cleansing, and Normalization Data Extraction Data Cleansing Data Normalization Automated Financial Analysis and Forecasting with AI Financial Analysis Financial Forecasting Generating Insights from Financial Data using AI Algorithms Enhancing Reporting Capabilities with AI-Powered Tools Conclusion Review Questions Chapter 4 - Considerations When Adopting AI Learning Objectives Introduction Assessing Readiness for AI Adoption Technological Infrastructure Data Availability & Quality Organizational Culture & Readiness Integrating AI into Existing Workflows Training & Upskilling Staff Common Challenges & Barriers to AI Adoption Conclusion Review Questions Glossary of Key Terms |
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