Sıla Ermut
Sıla is an industry analyst at AIMultiple focused on email marketing and sales videos.
Research interests
Sıla's research areas include email marketing, eCommerce marketing campaigns and marketing automation.
She is also part of AIMultiple's email deliverability benchmark. She is designing and running email deliverability benchmarks while collaborating with the AIMultiple technology team.
Professional experience
Sıla previously worked as a recruiter and worked in project management and consulting firms.
Education
She holds:
- Bachelor of Arts degree in International Relations from Bilkent University.
- Master of Science degree in Social Psychology from Başkent University.
Her Master's thesis was focused on ethical and psychological concerns about AI. Her thesis examined the relationship between AI exposure, attitudes towards AI, and existential anxieties across different levels of AI usage.
Latest Articles from Sıla
Top 20 Predictions from Experts on AI Job Loss
AI could eliminate half of entry-level white-collar jobs within the next five years. These job losses could affect the global workforce faster than previous waves of technological change. By 2027, millions of jobs may be displaced or significantly altered. While some roles will evolve, the workforce must prepare for a sharp increase in disrupted employment.
Top 9 AI Infrastructure Companies & Applications
Many organizations invest heavily in AI, yet most projects fail to scale. Only 10-20% of AI proofs of concept progress to full deployment. A key reason is that existing systems are not equipped to support the demands of large datasets, real-time processing, or complex machine learning models.
Top 6 Social Media Post Generator Benchmark
Generative AI is playing a significant role in the creation and management of social media content. As more tools offer features like caption writing, image selection, and post scheduling, it’s helpful to understand how they compare.
AI Video Pricing: Compare Runway, Synthesia & Invideo AI
AI video pricing can differ significantly across platforms, influenced by factors such as output quality, customization options, and features. As more businesses and creators turn to AI for efficient video production, understanding these pricing models becomes essential.
How to Measure AI Performance: Key Metrics & Best Practices
Measuring AI performance is crucial to ensuring that AI systems deliver accurate, reliable, and fair outcomes that align with business objectives. It helps organizations validate the effectiveness of their AI investments, detect issues like bias or model drift early, and continuously optimize for better decision-making, operational efficiency, and user satisfaction.
AI Image Detector Benchmark: SightEngine & Wasit AI
As these synthetic visuals grow more realistic and accessible, the ability to detect them has become a critical concern for upholding generative AI ethics, combating misinformation, and ensuring image authenticity. We compared the top 7 AI image detectors across 5 dimensions and found that most perform no better than a coin toss.
Top 7 Enterprise eCommerce Platforms: Features & Pricing
Enterprises need these eCommerce capabilities: We selected the top 7 enterprise eCommerce platforms based on their capabilities listed above.
AI for Mental Health: 7 Use Cases with Real-Life Examples
Mental health challenges are a worldwide concern, especially after the COVID-19 pandemic, which saw an estimated 76 million additional cases of anxiety disorders.This heightened stress strained healthcare systems and increased demand for mental health support. Yet, traditional care faces barriers like professional shortages, high costs, and social stigma.
Top 8 Remote Desktop Tools: Features and Pricing Compared
We selected the following vendors based on their ease of use, security capabilities, and core features, including unattended access, session recording, and file transfer.
Speech-to-Speech Software: Use Cases & Examples
Language barriers often create friction in conversations, slowing down collaboration, travel, and even critical services like healthcare. Speech-to-speech (S2S) technology addresses this problem by converting spoken input into natural-sounding speech in another language or style.
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