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A Human-Machine Learning Loop Holds the Key to Improving Budgeting and Forecasting Agility
Human-Machine-Learning-Loop-Main
September 5, 2023

By Michael Lashinsky, Director Research at Gartner, and Randeep Rathindran, Distinguished VP at Gartner

FP&A Tags:
AI/ML FP&A, Planning and Budgeting, Agile FP&A, Modelling and Forecasting

There’s no guarantee that current levels of volatility will subside anytime soon, and a majority of organisations are suffering from low planning agility that significantly hinders their ability to take advantage of opportunities or mitigate downside risks. This article reveals the importance of the human-machine learning loop for improving budgeting and forecasting processes.

Read more
Michael Lashinsky

Michael-LashinskyMike Lashinsky designs and leads research studies at Gartner to diagnose, root cause, and provide actionable solutions to large-scale inefficacies in corporate planning, budgeting, and forecasting across all industries and sectors.

Author's Articles

Human-Machine-Learning-Loop-Main
A Human-Machine Learning Loop Holds the Key to Improving Budgeting and Forecasting Agility
September 5, 2023
FP&A Tags:
AI/ML FP&A, Planning and Budgeting, Agile FP&A, Modelling and Forecasting

There’s no guarantee that current levels of volatility will subside anytime soon, and a majority of organisations are suffering from low planning agility that significantly hinders their ability to take advantage of opportunities or mitigate downside risks. This article reveals the importance of the human-machine learning loop for improving budgeting and forecasting processes.

Read more
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