Data fuels machine learning. Without timely, accurate data, machine learning models do not perform well and can give results that are misleading or fail to deliver value. It is vitally important that companies source and prepare data in the right manner - even though the process can require a vast amount of preparatory work and specialist expertise that may appear daunting. Companies should not even consider embarking on a machine learning project before completing this process.
***Open only to Supply Chain Exchange members and invited guests.