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How AI Improves Enterprise Risk Management (ERM)

The Finance Weekly

It is changing how businesses deal with Enterprise Risk Management (ERM), and AI algorithms can always watch for risks. AI can look at lots of data, find patterns, and predict risks. AI also does tasks automatically and saves time for risk managers. Why is Enterprise Risk Management Important?

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BlackLine: Finance need to be aware of these GenAI adoption challenges

Future CFO

NP: Training AI models to understand and interpret complex financial data accurately requires dedicated time and resources. Teams may also lack the skills required to develop a robust AI model, ranging from AI, data analytics to business acumen and risk management skills.

Finance 98
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Capitalising on the Fintech apps in APAC

Future CFO

The rise in digital transformation (DX) initiatives and the adoption of mobile technologies have also contributed to the demand for cloud-based financial applications in Asia/Pacific. Companies are increasingly seeking secure and compliant solutions to manage their financial data.

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Top 8 AI Uses in Finance Embraced by FP&A Leaders

The Finance Weekly

AI integration in their FP&A function brings various positive outcomes: AI algorithms boost efficiency by swiftly handling large amounts of financial data, reducing the , risk of errors , and enhancing data integrity. Advanced AI solutions offer real-time analysis during data entry.

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Key features for FA&P software to choose the best one

Spreadym

Financial analysis and planning (or FA&P) software is a type of business software that helps companies manage their finances and operational activity by analyzing financial data and providing tools to plan, forecast and make budgets for efficient business growth. Visit the link to learn more about it.

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How to Find the Best FP&A Candidates for Your Team

Spreadym

Budgeting and Forecasting: They have experience in creating and managing budgets, as well as forecasting financial performance based on historical data and future expectations. They are key contributors to the planning, performance analysis, and financial strategy development within the company.

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Digital Transformation in Finance: How to Drive the Process

Spreadym

Key components of digital transformation in finance include: Automation and Artificial Intelligence (AI) : Implementing AI algorithms and robotic process automation (RPA) to streamline repetitive tasks, such as data entry, customer support, and fraud detection, leading to reduced costs and increased accuracy.

Finance 52