The use of AI in corporate performance management
BARC research note: Exclusive insights for implementing predictive planning and forecasting – opportunities and strategies
From hyper-personalized Netflix feeds to smartphone face recognition technology, artificial intelligence (AI) and machine learning (ML) have become embedded in everyday life. Because planning and forecasting are based on large amounts of historic data, finance organizations are in a strong position to reap the benefits of the same type of acceleration and automation.
Successful implementation should be thoroughly prepared and accompanied by supporting measures, such as use cases and proven strategies. To integrate predictive planning and forecasting effectively and efficiently, it is advantageous to select platforms that have ML functionality rather than setting up parallel data storage in specific data science tools, the Business Application Research Center (BARC) recommends.
Read this BARC report to learn how finance teams can thoughtfully and successfully implement predictive planning and forecasting in their organizations.
Uncover how predictive planning and forecasting can boost productivity for finance teams:
