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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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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. Financial Modeling: The ability to create and work with financial models is crucial. Communication: Effective communication is critical.

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The AI CFO: Understanding the impact of AI on the role of CFOs

CFO Share

AI Advantages and Opportunities for CFOs AI presents key advantages and opportunities for CFOs: AI Enhanced Data Analysis AI enables CFOs to analyze large volumes of financial data quickly and accurately, uncovering valuable insights for decision-making. Where will you take AI in your business?

CFO 40
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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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Best Practice Tips to Impress in the Role of CFO

Centage

Keep reading for best practices for impressing owners and employees alike as a new chief financial officer. Marry Finance With Strategy It’s not enough to provide accurate financial data. Once you’ve identified potential financial risks, you can strategize the best risk management solutions and start putting them into action.

CFO 97
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Newly Funded B2B Startups Get Creative With Enterprise Data

PYMNTS

This week’s B2B venture capital roundup includes a slew of companies experimenting with enterprise data use cases. They include Internet of Things (IoT)-connected manufacturing machines, cross-platform financial data analysis, predictive analytics for inventory management and more. In all, more than $87.8

B2B 51
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Differences Between Budgeting and Forecasting in Business

Spreadym

Variance Analysis: Implement a system for regularly monitoring and analyzing budget variances (differences between budgeted and actual figures). Historical Data Analysis: Analyze historical financial data to identify trends, seasonality, and patterns that can inform your budget assumptions and forecasts.