Why AI engineering needs old-school discipline
About this episode
Nimisha Asthagiri discusses the importance of discipline in AI engineering and the need for a systems-thinking approach to avoid stalled initiatives.
In this episode of The New Stack Makers, Nimisha Asthagiri of ThoughtWorks explores why many AI initiatives stall between proof of concept and production. A key issue is that organizations focus on speed—asking how to move faster—rather than rethinking what new capabilities AI actually enables. Successful companies take a systems-thinking approach, investing in organizational literacy and aligning teams around meaningful use cases instead of retrofitting AI into existing workflows.
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