Ezgi Arslan, PhD.
Ezgi is an industry analyst at AIMultiple.
Research focus at AIMultiple
- AI agent applications in finance where she combines her finance expertise with emerging AI tools.
- Sustainability where she relies on her academic research background.
- Procurement technologies where she bases upon her experience in finance.
- Surveys and sentiment analysis for user insights where she rests on her academic experience.
- Network security, including firewalls, firewall management, and orchestration where she applies her industry analysis experience.
Professional experience
Ezgi worked both in academia and the industry before:- Çankaya University as Part-time Teaching Staff
- TED Ankara College as Education Support Specialist
- TED University as Teaching Assistant
- AKFEN Holding Inc. as Finance Specialist
Education
Graduated with a PhD. from the Department of Business and Administration at Bilkent University.
Academic publications
- Arslan ETanyeri-Günsür B. (2025). Ambitious sons and understanding daughters: investor perceptions of gender and the valuation of family firms". Gender in Management: An International Journal, 1-22, DOI: 10.1108/GM-11-2024-0636.
- Alp, E. (2024). An Examination of Factors in Financial Asset Valuation. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 12 (Special Issue), 60-72. DOI: 52122/nisantasisbd.1467788.
- Tanyeri A. B., and Alp E. (2023). Law as an external governance mechanism: valuation of family firms in countries with differing judicial protection of shareholder rights. Corporate Governance: An International Review, 1-22, DOI: 10.1111/corg.12484.
Conference presentations
- Alp, E. (2023) Impact of the Corporate Sustainability Performance on Financial Performance and the Institutional Shift Amidst Covid-19 Pandemic: Evidence from Türkiye. In: ICGS 2023 CGIR Junior Scholar Consortium and Paper Development Workshop – held in Madrid, Spain on October 20, 2023.
- Alp, E. (2023) The Effect of Corporate Sustainability Activities of Financial Performance. In: 1. Conference of Economics and Society – held in Ankara, Türkiye on December 6-7, 2023.
- Alp, E. (2022) Shareholder activism, and organizational form. In: 19TH EIASM Workshop on Corporate Governance – held in Strasbourg, France on November 8-9, 2022.
- Alp, E., and Tanyeri A. B. (2021). Gender perceptions of investors and the valuation of family firms. In: RENT 2021 Conference – XXXV Research in Entrepreneurship Conference – held in Turku, Finland on November (17) 18-19, 2021.
- Alp, E. (2020). Value of Shareholder Voting Rights and Family Firm Related Mechanisms. In: 3rd AEM and TIM PHD Programs-Joint Paper Development Online Workshop, Bergamo on May 25-26, 2020.
Latest Articles from Ezgi
Agentic AI Finance Benchmark: FinRobot vs FinRL vs FinGPT
79% of executives report that their companies have started adopting AI agents, yet 34% are currently using them in accounting and finance. We conduct a benchmark on 3 agentic AI finance tools tailored for financial workflows. Results suggest that We present benchmark results alongside use cases and implementation challenges. The findings highlight several important patterns:…
Top 20 Deception Technology Companies
Deception technology deploys fake assets to detect attackers who have bypassed perimeter defenses. Companies can use deception technology to detect and isolate a cyberattack before it reaches the organization’s actual systems. We cover the top 20 deception technology companies. This is possibly an incomplete list in an emerging field, feel free to suggest other vendors…
Generative AI ERP Systems: 10 Use Cases & Benefits
Enterprise resource planning (ERP) software helps businesses integrate workflows across finance and operations. Generative AI, alongside technologies like RPA, has the potential to enhance ERP processes. The financial use of Generative AI in ERP systems can cover the automation of entire procure to pay cycle and such as the accounts payable process. Another important element…
Python RPA: 8 Use-Cases for Developers
Robotic process automation (RPA) lets software robots run repetitive computer tasks. Python gives developers a flexible way to build those robots in code. The global RPA market sits at about USD 28 billion in 2025 and is forecast to reach roughly USD 247 billion by 2035. Yet between 30% and 50% of RPA projects fail,…
AI Data Quality: Challenges & Best Practices
Poor data quality delays the successful deployment of AI and ML projects. Even the most advanced AI algorithms can yield flawed results if the underlying data is of low quality. Explore the importance of data quality in AI, the challenges organizations encounter, and the best practices for ensuring high-quality data: Data quality is essential for…
Top 15 Training Data Platforms
A model is as good as the data it learns from. Supervised models need accurate, well-labeled examples to make correct predictions. Training data platforms cover the steps between raw data and a usable dataset: sourcing, labeling, and quality checks. See the top training data platforms, split by data marketplaces and data labeling tools, and mapped…
Best 7 AI Test Agents for QA
We evaluated AI testing platforms embedded with AI agents; most were overhyped Selenium/Playwright with marketing. A few were capable of writing/maintaining test cases or visual testing, though even these tools still have notable limitations. From these, we selected 7 platforms and categorized them by their primary focus areas. Our evaluation is based on real-world application…
10+ AI Procurement Use Cases & Case Studies
As the benefits of artificial intelligence (AI) are appreciated by a greater audience, the number of AI use cases in different industries expands daily. AI in the procurement sector is no different. See a comprehensive overview of the AI procurement process, detailing the reasons for its adoption, various use cases, the top 5 AI procurement…
Top AI Document Generator Tools
AI document generators promise to create documents, presentations, and even websites from a short prompt. We tested how well several popular tools can generate different types of outputs, including: We tested AI Doc Maker by asking it to create documents about AIMultiple without providing any company details. The results were not perfect but fair. It…
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