article thumbnail

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

CFO Share

The integration of AI in finance operations has already transformed the way CFOs analyze data, make decisions, and navigate complex financial landscapes. Efficient Risk Management using AI AI-powered tools can identify patterns and anomalies in financial data, enhancing risk detection and enabling proactive risk management strategies.

CFO 40
article thumbnail

What is Financial Planning and Analysis (FP&A)?

Spreadym

This enables management to take corrective actions, implement efficiency measures, and evaluate the success of initiatives. Financial Control and Risk Management: Financial Planning and Analysis plays a critical role in financial control and risk management.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to put finance business partnering puzzle together?

Fpanda Club

With a focus on driving better strategic and operational decisions, finance business partners create value through cost and margins, revenue growth and risk management. However, 22% of business managers don’t consider any other financial implications but revenue when making operational decisions. Sounds great, right?

Finance 130
article thumbnail

Standards for Carbon Accounting are Beginning to Take Shape

Bramasol

Climate-related risks and their actual or likely material impacts on the registrant’s business, strategy, and outlook; ? The registrant’s governance of climate-related risks and relevant risk management processes; ?

article thumbnail

Four Techniques Companies Use To Advance In Today’s New Economic Environment

The Finance Weekly

Intelligent process automation (IPA) is the next step in the evolution of robotic process automation (RPA), using artificial intelligence (AI) skills to analyze data, detect new trends, and make recommendations that increase efficiency. When it comes to something as vital as risk management, though, best practices must be followed: 1.

article thumbnail

Uncovering Supply Chains’ Deepest Risks With Data Innovation

PYMNTS

Artificial intelligence (AI), machine learning and natural language processing (NLP) are the three technologies Vakil highlighted as having the most promise in positively disrupting this area of supply chain risk management. “I really do feel that that is where supply chain is going next,” he said. ”

article thumbnail

AI’s Effort To Pull Hidden Costs (And Risk) Into The Light

PYMNTS

The company deploys AI to analyze data across contracts, accounts payable, purchasing, T&E, corporate card accounts and other sources throughout the enterprise to enhance visibility into the spend and supplier management.