Boost digital transformation with algorithmic business thinking
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During more than 15 years working in telecommunications, MIT Sloan senior lecturerPaul McDonagh-Smith observed a recurring issue: employees approached the same problem from different angles. People in research and development, engineering, and human resources all wanted the same outcomes but they weren’t able to connect, and weren’t taking advantage of lessons learned in other domains.
“They were missing each other,” McDonagh-Smith said. “Things were too often being lost in translation.”
McDonagh-Smith thought of algorithms — a series of step-by-step instructions to get a task completed, normally associated with computer science — as a way to address this problem and unite people within an organization and to unite humans with technology.
“If we truly want to fix problems, we should look for a…
