Topic
8 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
1994
Wixom began her research in 1994 on data warehousing, which then included advanced analytics now categorized as AI.
“So I started researching in the space of data warehousing, which, again, back then also included advanced analytics, which we now would categorize as AI in 1994.”
2023
Barb Wixom's book Data Is Everybody's Business came out in fall 2023 and synthesizes thirty years of her research.
“I have a book called Data is Everybody's Business that just came out fall of 2023, and the book was a synthesis of literally thirty years of my research.”
Undated
Wixom defines data monetization as converting data from an organizational resource into money, rather than selling data to others.
“Data monetization is when you start with data as an organizational resource and you end up with money and economic resource, and there's a conversion that happens in the organization.”
Undated
Wixom says the three routes to monetization are changing the nature of work, changing products, and creating new informational solution revenue streams.
“the context for AI should either be changing the nature of work, changing the nature of products, or creating new informational solution revenue streams.”
Undated
Wixom lists governance and oversight as one of five capabilities needed for data monetization.
“one of the five capabilities that you need is you need to have your governance and your oversight.”
Undated
Wixom says a company-wide generative AI tool should be managed like a personal productivity tool, unlike gen AI solutions built for parts of the business.
“when we are rolling out a universal tool gen AI to the masses across an organization, we need to be managing that like we would manage a personal productivity kind of tool.”
Undated
Wixom says machine learning projects that traditionally took one to three years are taking one to three months with generative AI.
“a machine learning project that traditionally would take one to three years with gen AI, we're seeing one to three months.”
Undated
Wixom convenes a data board of about a hundred senior executives who discuss a research topic each quarter.
“So imagine I have these hundred CDOs, COOs, global, really busy people, but they patiently participate in conversations every quarter on some topic.”
Episodes