Today, many companies are intrigued about what ML can do for their company and are waiting to know what it could mean for their finance function. Based on conversations held with many experts in the financial planning process, in this article Gizelda describes the top 5 desired outcomes that are cited as being necessary for ML to be perceived as adding value:

Learn from Jim Boswell, VP of Finance at FullSpeed Automotive about the best practices in building Driver-Based Financial models.

So, as a business professional, how can you evaluate the process(es) put in place in your company (or group of companies) and potentially evolve it in a way that effectively permits you to create value for your business(es)? Find the answer in this article.

Inflation and recession are creating chaos for most businesses in the world right now. In this article, we will explore some of the macroeconomic theories driving the current inflationary environment. These theories will allow you to understand, model, and advise your company on its options for addressing chaos and uncertainty.

For anyone unfamiliar, a financial model is a tool used to reflect the economics of a business scenario that can be used to track, monitor, and predict a company's financial performance. Financial modelling is a critical skill for all finance professionals as it teaches them the business and the critical business cause-and-effect drivers.

Forecasting with ML and deep learning allows you to justify budget allocations based on company performance, understand reasons for growth or decline, and plan for future growth. But how do we make sure we achieve these outcomes?