If you are a Global 20,000 company and you want to build a large language model that is specifically tuned to your business, the first thing you need is a corpus of your own textual data on which to ...

Key Points to remember when financial modelling in Excel : Plan Your Model Structure: Define the scope, use a clear layout, and maintain consistent formatting. Use Best Practices for Data Entry ...

Since the wave of large language models (LLM) swept through, the financial industry has been filled with high hopes; however, practical applications have generally fallen into the dilemma of 'loud ...

Financial modeling, much like coding, involves numerous interconnected spreadsheet tabs, complex logical structures built through Excel formulas and links.

The financial analytics market is projected to reach USD 15.2 billion in 2025 and expand to USD 34.1 billion by 2035, reflecting a compound annual growth rate (CAGR) of 9.2% over the forecast period.

Machine Learning: Driving Decision-Making At Scale Machine learning (ML) is the beating heart of AI in fintech, enabling systems to identify patterns and make data-driven predictions.

The rapid adoption of artificial intelligence (AI) agents across industries has brought significant benefits but also increased exposure to cyber threats, particularly adversarial attacks. According ...

On Tuesday, Anthropic launched the Financial Analysis Solution, which instantly pulls financial data from different data providers, both market feeds and internal.

Leveraging data to make real-time business decisions can help create efficiencies and unlock new revenue streams.

Gravity’s platform spans ACFRs, budget books, CIP planning, lease and debt management, and more—all powered by its proprietary Multidimensional Financial Data Model (MDFM).