
“100% of AI projects are subject to fail if there are no solid efforts beforehand to improve the quality of the data being used to fuel the applications. Making no effort to ensure the data you are using, is absolutely accurate and trusted — in my opinion — is indicative of unclear objectives regarding what AI is expected to answer or do. I understand it can be difficult to acknowledge, but if data quality mandates aren’t addressed up front, by the time the mistake is realized, a lot of damage has already been done. So make sure it’s forefront.”