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AI-enabled information systems: Teaming up with intelligent agents in networked business

Year: 2024
Type: article
Abstract: Artificial intelligence (AI) technologies promise new ways to solve (existing) problems and to create innovations, resulting in new paths toward business value. In this way, novel transformations are on the horizon to realize opportunities we have not yet conceived (or thought are currently feasible). While the understanding of what constitutes AI technologies has continued to change over time, machine learning (Janiesch et al., 2021 ) and—more recently—large language models, respectively foundation models, have become the focus of applied research and practice (Banh & Strobel, 2023 ). Besides AI applications’ capabilities to outperform humans in certain tasks, it is the “ability to learn and act autonomously [that] makes intelligent technological actors very different from most technologies historically used in organizations” (Bailey et al., 2019 , p. 643).
Language: English
Open Access status: hybrid
Estimated APC paid: $3,390
OpenAlex ID: W4403145483
FWCI: 7.224
Cites: 30
Cited by: 10
Related to: 10