JOURNAL ARTICLE
Digital Twins Can Help You Make Better Strategic Decisions.
Published In: Harvard Business Review Digital Articles, 2024. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Kenny, Graham; Pogrebna, Ganna 3 of 3
Abstract
Digital twins, also known as automated prediction systems, have traditionally been used with physical objects like wind turbines and buildings. However, recent advancements have allowed companies to create digital twins of organizational processes and supply chains. This technology is now accessible to small and medium enterprises (SMEs) as well. Digital twins involve virtual replicas of real objects or systems using historical and real-time data, paired with advanced analytics and machine learning models. They allow managers to experiment with changes before implementing them, revolutionizing strategy design. Two case studies demonstrate the success of using digital twins with gen AI to improve outcomes in targeting TV content and customizing consumer communication. [Extracted from the article]
Additional Information
- Source:Harvard Business Review Digital Articles. 2024/09, p1
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2024
- Accession Number:179978647
- Copyright Statement:Copyright 2024 Harvard Business Publishing. All Rights Reserved. Additional restrictions may apply including the use of this content as assigned course material. Please consult your institution's librarian about any restrictions that might apply under the license with your institution. For more information and teaching resources from Harvard Business Publishing including Harvard Business School Cases, eLearning products, and business simulations please visit hbsp.harvard.edu. (Copyright applies to all Abstracts.)
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