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 ...

Shandong Laiwu Rural Commercial Bank Co., Ltd. applied for a patent titled "A Data Artificial Intelligence Algorithm Calculation Method" in May 2025, which has recently been published with the public ...

The BloombergGPT financial language AI model is trained on approximately 570 billion tokens of training data, half of which is sourced from the financial domain.

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 ...

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 ...

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.

Issues like transparency, financial data quality and regulatory compliance must be addressed for fintech to fully harness AI in a sustainable, secure way.

Wealth management is moving from experienced-based advice to a data- and AI-powered approach that gives clients quicker ...

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 ...

An agentic AI model trained on large-scale, India-focussed financial datasets, Fuzz is built to deliver high domain expertise with contextual source-backed outputs.

Case in point — more than 60% of HBR respondents say they still rely on legacy tools to consolidate and roll up data, with the actual scenario modeling still done in Excel. I joined Workday in 2014 as ...