10 Ways Machine Learning Can Improve Manufacturing Today

By

Kazuyuki, M. (2019). Digitalization of manufacturing process and open innovation: Survey results of small and medium sized firms in japan. St. Louis: Federal Reserve Bank of St Louis.

Machine Learning in Manufacturing – Present and Future Use-Cases, Emerj Artificial Intelligence Research, last updated May 20, 2019, published by Jon Walker

Machine learning, AI are most impactful supply chain technologies. (2019). Material Handling & Logistics

MAPI Foundation, The Manufacturing Evolution: How AI Will Transform Manufacturing & the Workforce of the Future by Robert D. Atkinson, Stephen Ezell, Information Technology and Innovation Foundation (PDF, 56 pp., opt-in)

McKinsey Global Institute, Visualizing the uses and potential impact of AI and other analytics, Interactive Visualization Tool. April, 2018

McKinsey, ‘Lighthouse’ manufacturers lead the way—can the rest of the world keep up?,by Enno de Boer, Helena Leurent, and Adrian Widmer; January, 2019.

McKinsey, AI in production: A game changer for manufacturers with heavy assets, by Eleftherios Charalambous, Robert Feldmann, Gérard Richter, and Christoph Schmitz

McKinsey, Digital Manufacturing – escaping pilot purgatory (PDF, 24 pp., no opt-in)

Louis Columbus

Louis is currently serving as DELMIAWorks Brand Senior Marketing Manager. Previous positions include Director Product Management at Ingram Cloud, Vice President Marketing at iBASEt, Plex Systems, Senior Analyst at AMR Research (now Gartner), marketing and business development at SaaS start-ups.