Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
How to Move from AI Experimentation to AI Transformation. |
| Συγγραφείς: |
Dutt, Arjun1, Rapoport, Gene2, Chatterji, Aaron "Ronnie"3, Weeratunga, Gawesha4, Satcher, Harrison4 |
| Πηγή: |
Harvard Business Review Digital Articles. 4/30/2026, p1-10. 10p. |
| Θεματικοί όροι: |
*Artificial intelligence, *Reengineering (Management), *Business case (Research), *Economic impact, *Job involvement, *Senior leadership teams, *Process optimization, *Business planning |
| Περίληψη: |
The article focuses on how companies can move from AI experimentation to full AI transformation to achieve significant business impact. It highlights that many firms fall into a “micro-productivity trap” by applying AI only to isolated tasks without redesigning workflows or business models. Successful AI transformation involves a strategic focus on a few high-impact domains, reimagining end-to-end workflows with AI at the center, engaging frontline employees in the redesign process, and measuring outcomes with clear business metrics. Case studies of Lowe’s, which partnered with OpenAI to deploy AI tools like Mylow and Mylow Companion, and a Fortune 1000 manufacturer called FabricationCo illustrate these principles, showing measurable improvements in productivity, customer satisfaction, and profitability. The article emphasizes that C-suite leadership and organization-wide commitment are essential to avoid siloed efforts and realize AI’s full potential. [Extracted from the article] |
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| Βάση Δεδομένων: |
Business Source Index |