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Aysha

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What is your preferred data analytics tool for audit tasks?

1. Computer-Aided Audit Tools (CAATs)   – Pros: Specialized for audit tasks, automated data analysis, and fraud detection. – Cons: Learning curve, limited flexibility compared to general-purpose tools. 2. Spreadsheets – Pros: Widely used, user-friendly, versatile for basic data analysis. – Cons: Limited for large datasets, prone to errors, may…
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How can generative AI help organisations?

Automated Document Analysis:   – Generative AI facilitates automated analysis of extensive regulatory documents.   – Extracts relevant information efficiently, minimizing the risk of oversight or misinterpretation. Dynamic Compliance Monitoring:   – Adapts in real-time to continuously monitor regulatory updates.   – Provides insights for proactive compliance strategies. Natural Language…
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Does Micro-Credentialing motivate Lifelong Learning.

Micro-Credentials: A Lifelong Learning Solution Rapidly evolving education and professional development landscape Bite-sized certifications validating specific skills and knowledge Quick acquisition of skills for continuous learning Flexibility for Individualized Learning Choose from a wide range of subjects and skills Tailor education to meet unique career goals Ideal for busy individuals…
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How a Supply Chain Risk Management report looks like?

Executive Summary In an era of dynamic global markets and evolving uncertainties, effective supply chain risk management is imperative. This report aims to provide a comprehensive overview of potential risks, strategies to mitigate them, and key actions to enhance the resilience of our supply chain. Key Findings 1. Global Disruptions:…
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Considering the World Governments Summit 2024

In the next 10 to 20 years, generative AI emerges as a global transformative force. Governments and organizations face the imperative of addressing key aspects: regulation, ethical design, and broader emerging trends. Regulation takes center stage, ensuring that the deployment of generative AI aligns with ethical standards and legal frameworks.…
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What are the dis/advantages of managing ESG Data?

Introduction: Environmental, Social, and Governance (ESG) considerations have become integral components of corporate decision-making and investment strategies. As the demand for accurate and transparent ESG data grows, organizations face the challenge of efficiently managing this information. Two primary methods exist for collecting and processing ESG data: manual and automated approaches.…
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What is the difference among major ESG Standards?

1. GRI (Global Reporting Initiative)     – Scope: Comprehensive, covering economic, environmental, and social aspects.     – Location: Global, widely used internationally. 2. SASB (Sustainability Accounting Standards Board)     – Scope: Industry-specific, focusing on financially material sustainability factors.     – Location: Primarily U.S.-focused but gaining international…
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How can Machine Learning assess risk?

Objective – Analyze transactions in a general data table, categorizing anomalies into low, medium, and high risk. – Dataset includes various transactions within the timeframe (DD/MM/YYYY to DD/MM/YYYY). – Apply both supervised and unsupervised machine learning (ML) commands using ACL Analytics. Scope – General data table encompasses all transactions. –…
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