After a wild and turbulent 2020, the new year has ushered in a renewed commitment to establishing or improving corporate governance. Yet, positive energy aside, our traditional approach to endorsing governance of data, analytics, or AI remains fraught. As a result, governance initiatives springing from an earnest desire to do right (e.g., responsible AI), as well as the need to not do wrong (e.g., regulatory/compliance), struggle to enlist broad coalitions of the willing.
Posted April 05, 2021
For ethics to take root, sustainable governance practices must be infused into the fabric of an organization's AI ecosystem.
Posted January 18, 2021
Never have charts and graphs been more prominent in the collective public consciousness. The increased focus on data-driven insights has, just as so much in life, been both positive and negative.
Posted September 14, 2020
It is a matter of when, not if, your organization will confront a never-before-seen data source—a source that, if managed improperly, could result in catastrophic consequences to your brand and bottom line. In some cases, that data will be imported from outside your four walls. In others, the data will spring from new business processes or the fertile minds of your employees manipulating existing assets to create altogether new analytic insights,
Posted May 19, 2020
To democratize data and analytics is to make them available to everyone. It is an admirable goal and one with its roots in the earliest days of the self-service movement. If an organization is to truly be data-driven, it follows that all key decisions—from tactical operational priorities to strategic vision—must be data-informed. So where is democratization going wrong?
Posted March 20, 2020
Opportunity and Threat: The Intersection of AI and Data Governance
Posted December 23, 2019