10 Ways Machine Learning Can Improve Manufacturing Today

10 Ways Machine Learning Can Improve Manufacturing Today

McKinsey, Driving Impact and Scale from Automation and AI, February 2019 (PDF, 100 pp., no opt-in).

McKinsey, Manufacturing: Analytics unleashes productivity and profitability, by Valerio Dilda, Lapo Mori, Olivier Noterdaeme, and Christoph Schmitz, March, 2019

McKinsey/Harvard Business Review, Most of AI’s business uses will be in two areas,

Morey, B. (2019). Manufacturing and AI: Promises and pitfalls. Manufacturing Engineering, 163(1), 10.

Otto, S. (2018). How predictive maintenance is improving asset efficiency. Machine Design.

Reducing the barriers to entry in advanced analytics. (2019). Manufacturing.Net,

Seven ways real-time monitoring is driving smart manufacturing. (2019). Manufacturing.Net,

Siemens, Next Level AI – Powered by Knowledge Graphs and Data Thinking, Siemens China Innovation Day, Michael May, Chengdu, May 15th, 2019

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This article was written by
Louis Columbus

Louis is currently serving as Principal, IQMS. 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. Mr. Columbus’ academic background includes an MBA from Pepperdine University and the Strategic Marketing Management and Digital Marketing Programs at Stanford University Graduate School of Business. Louis also teaches MBA courses in international business, global competitive strategies, international market research, strategic planning and market research. Mr. Columbus currently is a member of the faculty at Webster University and has taught California State University, Fullerton: University of California, Irvine & Marymount University.