Learn essential Excel techniques to build robust financial models, forecast accurately, and impress stakeholders with your ...

In risk modelling, quality data might include up-to-date credit scores, income information, payment histories, and other financial indicators. It should be free from errors, duplications, and ...

Example: Portfolio Optimization Deep learning models can analyze historical market trends, asset prices and real-time financial data to optimize portfolio allocations.

Experts say that oversharing with artificial intelligence models can lead to fraud and identity theft risks. No matter how much you may trust AI for its advice and research, experts say there’s one ...

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.

Excel-native AI plug-in enables complex, accurate modelling at unprecedented speed, helping financial analysts make better judgment calls faster Early users in investment banking and professional ...

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 ...

As financial data is highly sensitive, Anthropic reassures users that the data is not used to train generative models and adheres to the data protection and regulatory compliance required of ...

Bluesheets, an AI-powered financial data startup based in Singapore, announced Tuesday it raised $6.5 million in a Series A funding round led by fintech-focused VC Illuminate Financial, bringing ...