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Ezgi Arslan, PhD.

Ezgi Arslan, PhD.

Industry Analyst
89 Articles
Stay up-to-date on B2B Tech

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 E. and Tanyeri-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

Latest Articles from Ezgi

CybersecurityOct 3

Analysis of Top 5 Open Source Configuration Tools in 2026

Misconfiguration of security management systems cause 99% of firewall security breaches. Therefore, using advanced firewall configuration software is essential to manage configurations and strengthen defenses.

AIOct 2

Sentiment Analysis Benchmark Testing: ChatGPT, Claude & DeepSeek

Achieving precise labeling of emotions and sentiments, as well as detecting irony, hatefulness, and offensiveness, remains a challenge, requiring further testing and refinement. We benchmark eight LLMs, Claude 3.5, Claude 3.7, Claude 4.5, ChatGPT 4.o, ChatGPT 4.5, ChatGPT 5.o, DeepSeek V3, and Grok 4, across five key sentiment-related tasks.

AISep 30

10 AI Procurement Use Cases & Case Studies in 2026

As the benefits of artificial intelligence (AI) are appreciated by a greater audience, the number of AI use cases in different industries expand daily. AI in the procurement sector is no different.

DataSep 29

Top 10 Alternative Data Use Cases for Investment in 2026

Investors are always searching for new sources of data that can provide an edge in their investment strategies. Alternative data can provide unique, non-public insights into companies, industries, and markets.

AISep 26

Affective Computing: In-Depth Guide to Emotion AI in 2026

Affective computing systems automatically identify emotions. These tools are used in several business cases, such as marketing, customer service, and human resources, to increase customer satisfaction and ensure safety. For leading tools in emotion detection, read Emotion AI Tools Backed by Real-World Testing.

CybersecuritySep 25

Top 5 NGFW Use Cases with Case Studies in 2026

The market for next-generation firewalls (NGFWs) is rapidly expanding, with an anticipated compound annual growth rate of ~11% between 2023 and 2028, increasing from $5 billion to $8.6 billion. As organizations seek advanced security solutions to combat evolving cyber threats, NGFWs are becoming essential.

Enterprise SoftwareSep 25

Procurement Software Comparison, Testing & Benchmarking

Procurement software solutions are designed to streamline the purchasing processes of businesses. However, the vast array of procurement software options available on the market can make selecting the most suitable solution for a business challenging.

Agentic AISep 10

Top AI Financial Research Platforms for Investors in 2026

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.

Enterprise SoftwareSep 10

Pros & Cons of Top 6 RPA Alternatives to Consider in 2026

Robotic Process Automation (RPA) is a beneficial technology that can automate up to 70-80% of rules-based processes. However, ~40% of companies fail to reach their expectations of cost reduction after RPA implementation.

Agentic AISep 8

AI-Based Stock Trading: Which Gen AI Tool Is Better [2026]

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.

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