This article summarises the presentations and discussions during the recent Digital FP&A Circle on how artificial intelligence (AI) and machine learning (ML) has reduced the process burden, increased the speed to insights, and ultimately supported improved decision-making at Konica Minolta and Amazon.

To manage business complexity, we need to focus on improving our processes. In this video, Saurabh Jain, explains how analytical journeys at different organisations usually look like.

Today’s finance and accounting professionals face ever-growing challenges when it comes to data. The simplest analyses can be complicated by the wrong data or bad data and too much data can even be a problem. Effectively sourcing, managing, and using data are key skills.

By deploying integrated FP&A organisations see greater performance improvements compared with traditional FP&A processes. This is enabled through combining strategic planning, business planning and forecasting and operations planning and forecasting.

Currently artificial intelligence (AI) and machine learning (ML) is havi. In terms of accounting and finance, is AI & ML a gift or curse for us?  The answer largely depends on two key variables.

The fourth FP&A Board Connect was dedicated to the subject "How to Use Predictive Analytics and Machine Learning for Better Quality Forecast (Janssen Case Study)".