Advisor

Failing to Ask the Right Question

Posted October 28, 2021 | Leadership | Technology |
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As we give in to our “very powerful tendency to anthropomorphize ML and AI, imbuing it with human characteristics,” we set our ML projects up for failure. This Advisor explores the importance of deciding on the question you are trying to answer before you embark on an ML analytics project.
About The Author
Michael Papadopoulos
Michael Papadopoulos is a Cutter Expert, Chief Architect of Arthur D. Little’s (ADL's) UK Digital Problem Solving practice, and a member of ADL's AMP open consulting network. He is passionate about designing the right solutions using smart-stitching approaches, even when elegance and architectural purity are overshadowed by practicality. Mr. Papadopoulos leads the scaling of multidisciplinary organizations by focusing on continuous improvement,… Read More
Philippe Monnot
Philippe Monnot is a Cutter Expert, a Data Scientist with Arthur D. Little's (ADL's) UK Digital Problem Solving practice, and a member of ADL's AMP open consulting network. He’s passionate about solving complex challenges that impact people’s livelihood through the use of data, statistics, and machine learning (ML). Mr. Monnot enjoys developing accessible solutions that customers will adopt through effective data storytelling and explainable… Read More
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