This is part 2 of a three-part series on the Economics of Ethics. In Part I of the Economics of Ethic series, we talked about… Read More »Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part II
This is part 1 of a three-part series on the Economics of Ethics. Here’s the problem with the data and AI ethics conversation – if… Read More »Economics of Ethics: Is Ethics Ultimately an Economics Conversation? Part I
“The future is already here. It is just unevenly distributed.” – William Gibson The Boston Consulting Group (BCG) released research showing that while 94% of… Read More »The Technology Crutch and Crossing the Cultural Learning Chasm
Anatomy is the study of the structure and internal workings of an entity. There are likely many ways that organizations can determine the value of… Read More »Anatomy of a Use Case
Do you remember those high school days when there was always this one cliché to which all the “kool” kids belonged? The “Kool Kids Klub” members held the best parties, got the best dates, got into the right colleges, got the right jobs, and married the right partners. And they accomplished all this cool stuff right in front of everyone, yet no one could figure out what made them so cool.
I recently participated in a regional workshop of government, education, business, and social leaders where we were trying to ascertain and assess 1) the certainty of national trends and 2) the impact of those trends on the region.
CDO Data-to-Business Innovation Dilemma: Deliver meaningful and relevant business outcomes in the short-term while simultaneously and continuously building and transforming the organization’s data and analytics assets and capabilities.
A recent HBR article, “Why Do Chief Data Officers Have Such Short Tenures?” by Thomas Davenport, Randy Bean, and Josh King, highlighted the Chief Data Officer’s (CDO) “Data-to-Business Innovation” challenge. The main charter for the CDO is to accelerate the Data-to-Business Innovation flywheel; to guide the business in becoming more effective at leveraging data and analytics to optimize its key business and operational use cases.
I received outstanding feedback from many folks in updating the Data Product Development canvas including Jon Cooke, Harsha Srivatsa, Craig (Doc) Savage, Melissa Perry, Raj… Read More »Data Subassemblies and Data Products Part 3 – Data Product Dev Canvas
A Business Discipline consists of systematic research, observation, measurement, and experimentation resulting in the assimilation of learnings into laws, theorems, concepts, principles, practices, frameworks, and formulas to enable the consistent application and ongoing enhancements from the real-world application of that discipline.
