Bekir O. Turkkan — accepted AI-conference papers

2026

Agentic Solutions for IT Financial Operations

Bekir O. Turkkan, Pavankumar Murali, Chandrasekhar Narayanaswami, Vadim Sheinin

AAAI 2026technical

The dynamic nature of cloud spending and pricing structures pose challenges for practitioners in IT Financial Operations (FinOps). Recent advances in agentic systems enables them to instead rely on agents for complex FinOps tasks such as drawing insights from their data through natural language quer

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2025

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks

Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark +34

ICML 2025oral

Realizing the vision of using AI agents to automate critical IT tasks depends on the ability to measure and understand effectiveness of proposed solutions. We introduce ITBench, a framework that offers a systematic methodology for benchmarking AI agents to address real-world IT automation tasks. Our…

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