Trust matters to consumers, and a lack of trust is bad for business.

Governance is the set of controls placed on a business to ensure that it delivers on its responsibilities to all stakeholders, from shareholders and employees to the public and national governments. These responsibilities may be financial, legal, and ethical.

Business practices are impacted by broader legislation to protect vulnerable sectors of society and to ensure a level playing field on criteria such as sex, race, age, or religion.

Data governance is a framework to ensure appropriate use and management of data.

• Where did the information in this dataset come from?
• What does this tell me about how I can use it?
• How is this dataset used?
• If I change this data, what are the implications downstream?

Process governance is the use of well-defined processes to ensure all governance considerations have been addressed at the correct point in the development and that a full and accurate record has been kept.

• Formal processes for machine learning are rarely easy to define accurately
• The understanding of the complete process is usually spread across the many teams involved. Often with no one person having a detailed understanding of it as a whole
• For the process to be successful, every team must be willing to adopt it
• If the process is too heavy-weight for some use-cases, teams will subvert it and the governance will be lost

Sources

• Introducing MLOps: How To Scale Machine Learning In The Enterprise