Strategy For and With AI

Kiron and Schrage discuss the key performance indicators (KPI) in a machine learning era. These KPIs can be customer centric or cost driven, process specific or investor oriented. These are the measures organizations use to create value, accountability, and competitive advantage. Bluntly: Leadership...

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Veröffentlicht in:MIT Sloan management review 2019, Vol.60 (4), p.30-35
Hauptverfasser: Kiron, David, Schrage, Michael
Format: Artikel
Sprache:eng
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Zusammenfassung:Kiron and Schrage discuss the key performance indicators (KPI) in a machine learning era. These KPIs can be customer centric or cost driven, process specific or investor oriented. These are the measures organizations use to create value, accountability, and competitive advantage. Bluntly: Leadership teams that can't clearly identify and justify their strategic KPI portfolios have no strategy. In data-rich, digitally instrumented, and algorithmically informed markets, AI plays a critical role in determining what KPIs are measured, how they are measured, and how best to optimize them. Optimizing carefully selected KPIs becomes AI's strategic purpose. Understanding the business value of optimization is key to aligning and integrating strategies for and with AI and machine learning. KPIs create accountability for optimizing strategic aspirations. Strategic KPIs are what smart machines learn to optimize.
ISSN:1532-9194