Commentary, council perspectives & expert panels

Perspectives in
AI & Digital Transformation

PUBLICATIONS

Scott Litman and Dan Mallin on the Twin Cities Business Show
Twin Cities Business · TCB Show Podcast

LATEST CONTRIBUTION

They Built and Sold Companies. Now They’re Helping Minnesota’s Next Generation of Founders.

Scott Litman and Dan Mallin, interviewed by Charlie Rybak

Read the article
WCCO interview with Dan Mallin about AI development and governance
WCCO TV · CBS Minnesota

64% in U.S. say AI is developing too fast. An AI strategist says candidates aren’t addressing it.

Dan Mallin, interviewed by WCCO
Scott Litman featured in Authority Magazine
Authority Magazine · Interview

Scott Litman Of Magnetive AI On How Artificial Intelligence Can Solve Business Problems

Scott Litman, interviewed by Chad Silverstein
Editorial preview image for How AI Scales Your Cyber Risk
Twin Cities Business · Guest Commentary

How AI Scales Your Cyber Risk

Dan
Entrepreneurs talking together in an office
Forbes · Forbes Business Council

Every Company Needs An AI Policy

Dan (byline), written with Scott
A robotic hand reaches toward caution tape
Forbes · Expert Panel

19 Warning Signs A Company Is Adopting AI Too Fast

Dan (one of several contributors)
Professionals working together in a shared office
Forbes · Forbes Business Council

Every Company Needs An AI Foundation

Dan (byline), written with Scott
Preview image for Most Companies Have AI, Not an AI Foundation
Twin Cities Business · Guest Commentary

Most Companies Have AI, Not an AI Foundation

Scott and Dan

PUBLISHED ON LINKEDIN

Notes from Scott.

LinkedIn article cover for Why Context Is the Real Competitive Advantage in Enterprise AI
LinkedIn

Why Context Is the Real Competitive Advantage in Enterprise AI

Scott, with Steve Frederickson of Capacity
LinkedIn article cover for Why Every Business Leader Must Understand the Difference Between Deterministic and Probabilistic Systems
LinkedIn

Why Every Business Leader Must Understand the Difference Between Deterministic and Probabilistic Systems

Scott