ResearchPapers.
A systematic review of generative AI: importance of industry and startup-centered perspectives, agentic AI, ethical considerations & challenges, and future directions
- Kinjal Patelbuilure
- Milind Shah
- Karishma M. Qureshi
- Mohamed Rafik N. Qureshi
Generative Artificial Intelligence (GenAI) is rapidly redefining the landscape of work, organizations and society at large. GenAI has rapidly evolved from rule-based symbolic systems of the 1940s to advanced deep learning architectures capable of producing human-like content across modalities, such as text, images, audio, and video. This review focuses on current emerging trends, such as large concept models and critical comparisons of tools, including ChatGPT, Gemini, and Cl…
DOI · 10.1007/s10462-025-11435-z
Agentic AI for Cloud Troubleshooting: A Review of Multi Agent System for Automated Cloud Support
- Kinjal A Patelbuilure
- Inshu Misrabuilure
- Eshan Chandra Pandeybuilure
- Deepti Survebuilure
One of the growing approaches in the field of artificial intelligence is known as agentic AI. This term describes autonomous systems that are meant to pursue complicated goals with minimum interaction from humans. Agentic artificial intelligence displays flexibility, advanced decision-making capabilities, and self-sufficiency, which enables it to work dynamically in contexts that are constantly changing. This is in contrast to traditional artificial intelligence, which is dep…
DOI · 10.1109/ICICT64420.2025.11005005
Collaborate
Want to co-author the next one?
We collaborate with universities and industry researchers on agentic AI, integration patterns, and applied generative AI. Drop us a line if there's something you'd like to publish together.


