Models, assumptions, risks and consequences.

Expressing real life situations as mathematical models drive decisions on how to respond appropriately. Assumptions are not facts but do have a probability of occurring. Confidence in a model is an important factor of both the likelihood of the assumptions being correct and the quality and quantity of the data … Continue reading →

Risk Tech, Reg Tech – All The 2018 Tech

We recently published our Risk And Compliance Tech Tide report outlining 14 core technologies to track in 2018. One of the challenging parts of this research is setting the right scope. We found risk and compliance technology everywhere, covering every…

Stopping Accidental Technical Debt

In one of my earlier posts about technical debt, I differentiated between intentional debt (that taken on deliberately and purposefully) and accidental debt (that which just accrues over time without rhyme or reason or record). Dealing with (in the sense of evaluating, tracking, and resolving it) technical debt is obviously a consideration for someone in […]

Fear of Failure, Fear and Failure

Some things seem so logically inconsistent that you just have to check them out. Such was the title of a post on LinkedIn that I saw the other day: “Innovation In Fear-Based Cultures? Or, why hire lions to be dogs?”. In it, Michael Graber noted that “…top-down organizations have the most trouble innovating.”: In particular, […]