Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Why is it so hard to get ROI from AI? Because building from first principles isn't easy. |
| Συγγραφείς: |
Kahn, Jeremy (AUTHOR) |
| Πηγή: |
Fortune.com. 6/12/2026, pN.PAG-N.PAG. 1p. |
| Θεματικοί όροι: |
*Artificial intelligence, *Reengineering (Management), Data quality |
| Περίληψη: |
This article summarizes key discussions from Fortune Brainstorm Tech 2026, focusing on the challenges and strategic approaches companies face in implementing artificial intelligence (AI). Industry leaders emphasized the importance of foundational work—such as data governance and workflow redesign—before deploying AI, cautioning against rushing to scale AI use cases without clear strategic goals. Experts highlighted that many firms fail to realize productivity gains because they automate existing inefficient processes rather than re-engineering them. The article also covers perspectives on AI readiness, the evolving role of AI agents, the significance of human oversight, and emerging themes like AI sovereignty and efficiency optimization in AI infrastructure. [Extracted from the article] |
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| Βάση Δεδομένων: |
Business Source Index |