Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
Published in Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), 2026
Shows how LLM-based log analytics can be scaled to IT software-support workloads. Presents an end-to-end case study on millions of log lines across hundreds of enterprise incidents, reporting engineer-time savings and deployment learnings.
Recommended citation: Gupta, P., Bhukar, K., Kumar, H., Nagar, S., Mohapatra, P., Kar, D. (2026). "Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study." Proceedings of the 40th AAAI Conference on Artificial Intelligence.
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