Establishing Criteria for Effective AI Adoption in Industry
Artificial intelligence (AI) is fast-advancing and changing sectors, improving efficiency, output, and creativity. Inspired by present applications, trends, and best practices, this review seeks to provide thorough criteria for successful AI adoption in several fields. Key factors are strategic alignment with corporate goals, robust technology infrastructure, excellent data administration, competent workforce acquisition, ethical and legal compliance, good financial investment plans, and great change management and cultural readiness. This paper presents a road map for industry executives to negotiate the complexity of AI adoption by looking at new trends and providing useful advice, guaranteeing sustainable and powerful integration of AI technologies.
Authors
- Mitra Madanchian (ORCID: https://orcid.org/0000-0003-0664-5865)
- Hamed Taherdoost (ORCID: https://orcid.org/0000-0002-6503-6739)
Institutions
- University Canada West (CA)
- Global University Systems (GB)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.07.045
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.28
Funders
- University Canada West