Two case studies show how they can improve outcomes.
September 23, 2024
Yaroslav Danylchenko/Stocksy
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The traditional application of digital twins has been with physical objects like building sites or even cities in the case of Singapore. This has now changed with the ability to marry gen AI tools with digital twin technology to model organizational processes and supply chains. Moreover, this technology is no longer exclusive to large corporations; its reduced cost makes it accessible to small and medium enterprises as well. Even without extensive resources or dedicated analysts, companies can use gen AI with digital twins to analyze existing customer data and generate detailed virtual models of various customer segments. This article details two cases from companies that illustrate how marrying get AI with digital twins can produce spectacular outcomes.
Even when handled well, strategic change can be extremely disruptive to organizations. At its worst, bad strategy can demolish a business. Unfortunately, with so many factors at play, it’s traditionally something of a roll of the dice. But what if there was an accurate and cost-effective way to predict the impact of complex change scenarios? You may have dismissed automated prediction systems in the past, but it’s time to look again.
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Graham Kenny is the CEO of Strategic Factors and author of Strategy Discovery. He is a recognized expert in strategy and performance measurement who helps managers, executives, and boards create successful organizations in the private, public, and not-for-profit sectors. He has been a professor of management in universities in the U.S. and Canada.
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Ganna Pogrebna is Executive Director at AI and Cyber Futures Institute, Lead for Behavioural Data Science at the Alan Turing Institute and an Honorary Professor of Behavioural Business Analytics and Data Science at the University of Sydney.
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