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

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 ...

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

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 ...

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 ...

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 ...

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 analytics and intelligence layer transforms raw financial data into actionable insights through dashboards, planning tools and predictive modeling.

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).