30 Min.

How AI shifts enterprise decision-making into self-driving mode HBS Managing the Future of Work

    • Wirtschaft

For decades, enterprise systems vendors have promised legacy businesses virtual omniscience—decision-making informed by real-time, comprehensive views of their organizations’ activities and relevant external factors. This holy grail has eluded large established organizations, with their complex agglomerations of systems. Silicon Valley software developer Aera Technology touts an AI-assisted upgrade, tapping disparate systems and data flows to provide comprehensible and timely recommendations and automated decision-making. President and CEO, Fred Laluyaux, explains how advances in computing power coupled with vast stores of data are ushering in a new mode of operations, with computers handling more routine analysis and decision-making. This, in turn, is accelerating the automation of previously “safe” knowledge work. Laluyaux discusses the benefits and the organizational changes and challenges.

For decades, enterprise systems vendors have promised legacy businesses virtual omniscience—decision-making informed by real-time, comprehensive views of their organizations’ activities and relevant external factors. This holy grail has eluded large established organizations, with their complex agglomerations of systems. Silicon Valley software developer Aera Technology touts an AI-assisted upgrade, tapping disparate systems and data flows to provide comprehensible and timely recommendations and automated decision-making. President and CEO, Fred Laluyaux, explains how advances in computing power coupled with vast stores of data are ushering in a new mode of operations, with computers handling more routine analysis and decision-making. This, in turn, is accelerating the automation of previously “safe” knowledge work. Laluyaux discusses the benefits and the organizational changes and challenges.

30 Min.

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