No results found.
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

DataOct 24

Top 10 Data as a Service Companies in 2026

Data fuels generative AI and enterprise innovation. Data as a Service (DaaS) is a cloud computing model that provides data on demand to users, usually on a subscription basis. This streamlines data collection and management.

DataOct 24

Retail Market Research: Benefits, Trends & 5 Real-Life Examples

A recent report highlights a dramatic shift in customer behavior, with 50% of customers changing their brand preferences, and 90% indicating they’ll continue to switch brands. This trend points to a volatile retail market, underlining the importance for retailers to adapt and innovate to maintain customer loyalty.

AIOct 17

Top 8 Use Cases of Sentiment Analysis Marketing in 2026

“This was great!”  “I had a horrible experience.” The sentiments in these sentences can be inferred from certain words, such as “great” and “horrible”. By analyzing the sentiments of reviews, feedback, and other customer interactions, businesses can improve their marketing campaigns.

AIOct 17

Top 12 ChatGPT Survey Research Use Cases & Tips [2026]

ChatGPT generated gamified survey question

AIOct 13

Top 10 Emotion AI Tools Backed by Real-World Testing ['26]

Large language models and emotion AI tools can read voices, faces, and data to reveal how people feel, as well as they can create video and audio based on given prompt. We evaluated the emotion detection capabilities of two emotion detection software tools and seven large language models using 70 face images.

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.

CybersecuritySep 29

AI Firewall vs NGFWs ['26]: Detailed Analysis & Comparison

A threat hunt is estimated to take 194 days to identify an advanced persistent threat (APT), according to cyber security stats. To improve the threat detection and prevention process, businesses are increasingly relying on artificial intelligence-based security solutions, leading to the AI in the cybersecurity market being projected to reach approximately $45 billion by 2027.

...23456...