Ezgi Arslan, PhD.
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
- Alp, E. (2023) Impact of the Corporate Sustainability Performance on Financial Performance and the Institutional Shift Amidst Covid-19 Pandemic: Evidence from Türkiye. In: ICGS 2023 CGIR Junior Scholar Consortium and Paper Development Workshop – held in Madrid, Spain on October 20, 2023.
- Alp, E. (2023) The Effect of Corporate Sustainability Activities of Financial Performance. In: 1. Conference of Economics and Society – held in Ankara, Türkiye on December 6-7, 2023.
- Alp, E. (2022) Shareholder activism, and organizational form. In: 19TH EIASM Workshop on Corporate Governance – held in Strasbourg, France on November 8-9, 2022.
- Alp, E., and Tanyeri A. B. (2021). Gender perceptions of investors and the valuation of family firms. In: RENT 2021 Conference – XXXV Research in Entrepreneurship Conference – held in Turku, Finland on November (17) 18-19, 2021.
- Alp, E. (2020). Value of Shareholder Voting Rights and Family Firm Related Mechanisms. In: 3rd AEM and TIM PHD Programs-Joint Paper Development Online Workshop, Bergamo on May 25-26, 2020.
Latest Articles from Ezgi
Layers & Components of IoT Architecture
Though businesses are investing in IoT, buyers may not be clear about all the components that they need to invest in.
Top 6 Insurance IoT Use Cases
The rapid growth of IoT is transforming the insurance industry by enabling continuous monitoring, which could prevent risks and reduce the need for traditional insurance. However, it also introduces challenges like cyber threats, making cyber risk insurance a potential focus. Since insurance relies heavily on data, IoT’s ability to increase data availability offers efficiency benefits.
Top IoT Cloud Benefits, Challenges & Platforms
In an IoT ecosystem, devices communicate effortlessly through the cloud rather than relying on traditional, bulky servers with blinking lights hidden in office basements. The cloud’s easy accessibility, scalability, and robust disaster recovery features have made it the go-to solution for maintaining IoT data.
A General Guide to Internet of Everything (IoE)
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.
Top 10+ Emotional AI Examples & Use Cases
The emotion detection and recognition (EDR) market is estimated to reach at ~$50 Bn in 2024, and is expected to reach ~$173 Bn by 2031. Emotion detection and recognition rely on emotion AI to identify, process, and simulate human feelings and emotions.
Top 5 Synthetic Data Finance Applications
In my eleven years of academic and professional experience, I observe that artificial intelligence has a diverse set of applications in financial services from process automation to chatbots and fraud detection.
10 AI Procurement Use Cases & Case Studies
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.
Top 30 Affective Computing Applications: Emotion AI Use Cases
Thanks to affective computing, also known as emotion AI, computers start to recognize human emotions based on facial expressions, body language, or voice tone. Technology’s applications in different industries are expanded by significant investment in technology where some managers lack knowledge.
40 IoT Applications & Use Cases with Real-Life Examples
Worldwide annual revenue on IoT in 2033 is expected to be $934B. IoT enables a myriad of different business applications. Knowing those IoT examples and use cases can help businesses integrate IoT technologies into their future investment decisions.
Affective Computing: In-Depth Guide to Emotion AI
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.
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