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

Enterprise SoftwareDec 5

A General Guide to Internet of Everything (IoE) in 2026

The Internet of Everything (IoE) connects things, data, people, and processes using sensors and communication systems, going beyond just device connectivity to a fully integrated ecosystem. IOE solutions create value on healthcare, smart cities, retail, smart homes and industrial processes areas.

CybersecurityDec 5

A Comprehensive Overview of Top 5 ZTNA Open Source Components

As businesses move towards remote and hybrid work environments, implementing zero-trust network access (ZTNA) solutions can support businesses’ cybersecurity efforts. ZTNA open-source tools offer a cost-effective way to authorize access at each layer, securing remote access to resources.

Agentic AIDec 2

AI Financial Analyst Solutions: Best Way to Maximize Efficiency

AI-driven financial analysis has evolved significantly beyond simple automation; some tools now match or exceed the capabilities of human analysts in tasks such as forecasting, document synthesis, and multi-source data interpretation.

CybersecurityNov 28

Analysis of Top 4 Open Source NGFWs Based on Features

Data breaches led to the exposure of 6M records in the first quarter of 2023, according to network security stats. Teams using NGFWs, AI-driven security, and automation are saving ~$2M more than those use the traditional tools.

CybersecurityNov 27

Top 7+ Open Source Firewall Options in '26: Features & Types

Network security statistics reveal that Open source firewalls provide a cost effective solution to network security.

AINov 25

Hands-On Top 10 AI-Generated Text Detector Comparison

We conducted a benchmark of the most commonly used 10 AI-generated text detector.

Enterprise SoftwareNov 25

Top 7 Open Source HRIS Tools with Key Features in 2026

Open-source HRIS software provides a more affordable alternative to closed-source code HR information system tools, although they have some limitations, such as vulnerabilities from open source. These systems are widely used for their flexibility and cost-effectiveness. We’ve gathered a selection of commonly used open-source HRIS tools, each with its own set of features.

DataNov 25

Top 3 Synthetic Document Generators Benchmarked [2026]

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.

AINov 25

A Test for AI Deception: How Truthful are AI Systems? ['26]

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.

AINov 25

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 emerged as the top performer, scoring high in both accuracy and capabilities.