Machine learning (ML) can make financial planning more efficient and accurate. Yet, when FP&A leaders rush to replace traditional forecasting with this technology, their underdeveloped models can lead to untested algorithms that delay progress.
Explore how Alessandro Marchesano, head of FP&A at ABB Electrification:
- Understood what ML technologies do best to enhance ABB's forecasting processes
- Indentified the specific role humans play in building, training and governing ML models
- Tested a human-machine learning loop method to iterate and refine their machine learning processes