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This issue of Amplify offers insights into the criteria that determine AI success — from identifying where adoption will be most effective, estimating its likely benefits, and addressing requirements like explainability, to challenges such as the culture-specific nature of human imagination and self-perception.
August 25, 2025 | Authored By: Eystein Thanisch
Organizations need to address several issues across four critical steps to make AI work to their best advantage: (1) assess business needs, (2) seek skilled AI people and train staff, (3) identify AI machine learning input data, and (4) choose AI and ML tools. This Executive Update addresses each of the four steps and offers recommendations.
September 13, 2021 | Authored By: Steven Kursh, Arthur Schnure
GETTING PERSONAL (PART I) The pervasiveness of the Internet in today's society means that the first interaction mos
July 31, 2000 | Authored By: Curt Hall
This article takes us into another unexpected domain: production of energy resources. It is not obvious at the outset how embracing an Agile mindset might alter energy resource production rates, so his recounting of this story is especially interesting.
June 25, 2019 | Authored By: Simon Orrell
Arthur D. Little’s Michael Papadopoulos, Nicholas Johnson, Michael Eiden, Philippe Monnot, Foivos Christoulakis, and Greg Smith debunk the idea that security concerns about LLMs are entirely new. They examine each concern to show that these issues are merely new manifestations of existing security threats — and thus manageable. “LLMs highlight and stress test existing vulnerabilities in how organizations govern data, manage access, and configure systems,” they assert. The article concludes with a list of 10 specific ways to improve LLM-adoption security.
The phrase "knowledge management" was at first seized upon by software vendors and consulting firms because it was immensely promising and completely vapid,
October 31, 1999 | Authored By: David Weinberger