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Ezgi Arslan, PhD.

Ezgi Arslan, PhD.

Industry Analyst
87 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

  • 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

Latest Articles from Ezgi

AIAug 12

ChatGPT in Audit: Benefits, Challenges & Best Practices

This article, will analyze the top use cases of ChatGPT in audit, such as In addition, we will also explore the challenges of implementing ChatGPT in auditing practices and present a framework for establishing an effective collaboration between the human auditor and ChatGPT.

AIJun 23

Top 12 ChatGPT Survey Research Use Cases & Tips

ChatGPT generated gamified survey question

AIJun 10

Top 7 Examples of ChatGPT Sentiment Analysis

A study estimated that 80% of companies will adapt to solutions  that utilize sentiment analysis in 2023. Sentiment analysis is a Natural Language Processing (NLP) method that classifies texts, images, or videos based on the emotional tone as negative, positive, or neutral.

AISep 4

Top 5 Sentiment Analysis Services

While many sentiment analysis tools are available, an emerging trend is the use of sentiment analysis services, which offer the advantages of crowdsourced human-labeled data and domain-specific expertise.

DataJul 9

Top 10+ Online Survey Challenges

Top 11 online survey challenges categorized into the participant, survey structure, and surveyor related.

DataJul 21

Hands-on Review: Top 6 Online Survey Participant Recruitment Tools in 25′

Companies conduct online surveys to understand market trends and their target audience. However, finding the right survey participants can be both challenging and time-consuming. Survey participant recruitment tools help businesses to find appropriate participants.

DataAug 14

Fake Review Detection: How it works & 3 Case Studies

While shopping online, ~80% of customers read online reviews or comments on products and services before any purchase. However, some of these reviews can be fraudulent as promoting certain products or depreciating them and, as a result, misguide buyers. Indeed, 2.

Enterprise SoftwareApr 2

Top 12 Use Cases of RPA in Procurement Process

Chief procurement officers (CPOs) are pessimistic about the supply chain volatility index of 2024 pointing a huge and increasing volatility in 2024. A remedy is a more robust procurement process that keeps the business ahead of the market and geopolitical dynamics.

AIJul 29

Top 50 Content Writing Statistics

The content writing industry has grown in popularity over the years, and recent advancements in AI and LLMs have dramatically transformed the landscape. So, we have gathered 50 content marketing statistics about  to make a data-driven presentation about the current state of the content writing industry as a whole.

Enterprise SoftwareAug 12

Top 15 HR Automation Case Study in Different Sectors

Disruptive technologies such as artificial intelligence (AI) and robotic process automation (RPA) can dramatically reduce the time spent on repetitive and non-strategic HR tasks. However, according to PwC’s HR technology survey, one of the top reasons preventing HR leaders from adopting these technologies is the lack of compelling use cases.

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