Enhancing Efficiency and Scalability of AI-Driven Data Analytics with 5G Integration: Challenges and Opportunities Across Industry Sectors
The integration of Artificial Intelligence with 5G technology has the potential to bring transformative benefits in terms of efficiency, scalability, and real-time adaptability across industries. This study proposes a framework that will integrate AI-driven analytics, edge computing, and reinforcement learning on top of 5G for data-intensive environments. Results indicate up to 30% improvement in scalability, 35% reduction in latency, and 20% reduction in energy consumption-beneath applications in smart cities, healthcare, and precision agriculture. The work is aligned with international sustainability objectives and paves future research directions by integrating blockchain and quantum computing in advancing scalable and intelligent digital ecosystems.
Authors
- Pronoy Chopra
- Amit Gudadhe (ORCID: https://orcid.org/0000-0001-9333-8040)
- Devanshi Timande
- Nishant Agade
Institutions
- Datta Meghe Institute of Higher Education and Research (IN)
Publication Details
- Published
- 2025-07-04
- DOI
- https://doi.org/10.1109/icctdc64446.2025.11158932
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00