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
- Tanyeri A. B., and Alp E. (2022). 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.
- 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.
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 Payments & Commerce: Tools, Use Cases & Benefits
Agentic AI is moving from a concept to a critical piece of modern infrastructure. This transformation is massive: the Agentic AI industry is estimated to reach $155B by 2030.
Top AI Document Generator Tools
AI document generators promise to create documents, presentations, and even websites from just a short prompt.
Top 3 Synthetic Document Generators Benchmarked
Synthetic document generators create annotated, realistic document images that help train and evaluate machine learning models without relying on large, manually labeled datasets. We benchmark leading synthetic document generators by creating more than 2,500 synthetic documents, comparing their effectiveness in realistic layouts, accurate numerical data, and useful training datasets for document analysis tasks.
A Test for AI Deception: How Truthful are AI Systems?
We benchmark four LLMs using a combination of automated metrics and custom prompts to assess how accurately the models provide factual information and avoid common human-like errors to understand the magnitude of AI deception. In our assessment, Gemini 2.5 Pro achieved the highest score.
Agentic AI Finance Benchmark: FinRobot vs FinRL vs FinGPT
79% of executives report that their companies have started adopting AI agents, yet only 34% are currently using them in accounting and finance. We conduct a benchmark on 3 agentic AI finance tools tailored for financial workflows.
Top AI Financial Research Platforms for Investors
Investors face a crowded landscape of financial research tools, but many still struggle with fragmented data, time-consuming manual analysis, and limited predictive insights. AI financial research platforms are filling these gaps by combining automation, natural language processing, and advanced analytics to deliver faster, deeper, and more actionable intelligence.
AI-Based Stock Trading: Which Gen AI Tool Is Better
Although LLM tools have been used in AI-based stock trading since their emergence, the growing availability of these tools raises the question of which generative AI solution offers the best accuracy in predicting stock markets.
AI Financial Analyst Solutions: Best Way to Maximize Efficiency
AI-powered tools have already outperformed human expertise in predictive analytics. Building on this trend, we test leading AI financial analysts, review their use cases and benefits, and examine the challenges of using AI-based financial analysis tools. Top AI financial analyst solutions * The prices for the basic versions of the tools are provided.
Benchmark of Top 14 AI Excel Tools to Boost Productivity
79% of companies report that they’ve already adopted AI agents, and two-thirds of those users say these agents have boosted productivity in measurable ways. We test and compare 14 AI Excel tools to see how they perform. Results show Claude Max emerged as the top performer, scoring high in both accuracy and capabilities.
Top 20+ Enterprise AI Assistants by Category & Use Case
Though LLMs are great at text generation, their Enterprise AI agents are being built by leading SaaS vendors to address these issues. These bots need to be able to: While these are table stakes, how they are implemented is important.
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