As we entered the 2010s, corporate America underwent a seismic shift. The relentless pursuit of efficiency that characterized the 1990s and early 2000s gave way to a new paradigm—one that prioritized purpose and profit. While addressing crucial issues of employee burnout and societal expectations, this transformation inadvertently set in motion a chain of events that would profoundly impact data culture and leadership across organizations.
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AI generated
Every system is perfectly designed to get the result that it does
What if employees could enter their credentials and skills, share their problem-solving interests, and get dynamically assigned to a team based relevant to the organization’s needs? No more silos. The organization could also crowdsource expert citizen engineers with similar interests and skills for inside-outside problem-solving, where appropriate.
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