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Ezgi Arslan, PhD.

Ezgi Arslan, PhD.

Industry Analyst
97 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

Data
Benchmark
Aug 3

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 3 synthetic document generators, Genalog, DocCreator, and Tonic Textual, by creating more than 2,500 synthetic documents, comparing their effectiveness in realistic layouts, accurate numerical data, and training datasets for document…

Cybersecurity
Open World Evaluation
Aug 3

Analysis of Top 3 Open Source Firewall Management Tools

Substantial costs of data breaches, which average over $4 million globally. To safeguard their sensitive data and firewall security, businesses rely on firewall security management services. If you are *Based on data from B2B review platforms **Compatibility might be possible via some layer, such as virtualization. You may explore details regarding in the following sections.…

Cybersecurity
Open World Evaluation
Aug 3

Top 40+ Network Security Audit Tools

Network security audit tools scan a network and report on its security. They flag threats, vulnerabilities, and missing patches, then alert administrators. These tools vary widely in function. Some handle patch management. Others fall into the categories below: These tools scan these assets for vulnerabilities that attackers could exploit. They create a detailed inventory of…

Enterprise Software
Insight
Jul 31

Top 10 ERP AI Use Cases & Case Studies

Enterprise resource planning (ERP) systems help organizations manage core business processes such as finance, operations, and human resources within a single platform. We provide the top 10 ERP AI use cases that focus on automating routine tasks, predictive forecasting, and intelligent analytics with real-life examples. AI brings speed and accuracy to financial tasks: Most ERPs…

Cybersecurity
Open World Evaluation
Jul 30

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…

Agentic AI
Feature Comparison
Jul 30

Local AI Agents: Goose, Observer AI, AnythingLLM

Local AI agents are often described as offline, on-device, or fully local. We spent three days mapping the ecosystem of local AI agents that run autonomously on personal hardware without depending on external APIs or cloud services. Our analysis categorizes the leading solutions into three key areas, based on hands-on testing across developer agents, automation…

Cybersecurity
Open World Evaluation
Jul 30

18 Top Data Loss Prevention (DLP) Software

Based on our DLP benchmark & features, here are the top data loss prevention tools. See our rationale for these recommendations by clicking the links on the product names: To comply with regulations such as GDPR, HIPAA, or PCI DSS and strengthen your security with a DLP solution, you need to find the right vendor…

AI
Insight
Jul 30

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…

Enterprise Software
Insight
Jul 30

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 2035.47 Yet between 30% and 50% of RPA projects fail,…

Data
Insight
Jul 30

AI Data Quality: Challenges & Best Practices

Poor data quality delays the successful deployment of AI and ML projects. 52 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…

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