Strong data quality key to success with machine learning, AI or blockchain by Tendü Yoğurtçu via @infomgmt

Enterprises must be skeptical of data as it essentially determines how the AI will work and bias in the data may be inherent because of past customers, business practices and sales.

The past bias could be inherent in the data due to the design of legacy systems, the team typing it in, the customers, the way it was governed by the business or a combination of them.  Historic data should therefore always be treated with great suspicion until you have completed an exercise to check the systems, the data meanings, standards and governance. Please don't make huge business decisions based on data you can't prove it clean and unbiased.