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Sıla Ermut

Sıla Ermut

Industry Analyst
96 Articles
Stay up-to-date on B2B Tech
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

AISep 9

Handle AI Ethics Dilemmas with Frameworks & Tools

Warner Bros. is suing Midjourney, alleging that its AI image generator unlawfully reproduces copyrighted characters, including Superman and Batman. The lawsuit highlights a broader issue: AI systems trained on copyrighted works raise significant concerns about ownership, fairness, and accountability.

AIMay 26

AI in Government: Examples & Challenges

Governments worldwide are investing in AI to improve efficiency and service delivery. However, scaling AI initiatives presents challenges, from ethical concerns to bureaucratic resistance. Explore AI in government applications, best practices, and real-world examples.

DataMay 27

Few-Shot Learning: Methods & Applications

Imagine a healthcare startup developing an AI system to detect rare diseases, but there’s a problem: there’s not enough labeled data to train a traditional machine learning model. This is where few-shot learning (FSL) comes in.

AIJul 22

Top 5 AI Services to Enhance Business Efficiency

AI adoption is on the rise. 98% of companies are experimenting with AI, while 26% are advancing to generate tangible value. Explore the top 5 types of AI services that can accelerate your business’s AI adoption journey. 1.

AIJul 24

Custom AI: When to Build Your Own Solutions

Although off-the-shelf AI tools support many enterprise needs, they often fall short in high-impact, data-specific use cases. Businesses operating in complex or niche environments often find that generic AI solutions can’t effectively accommodate their unique workflows or leverage proprietary data.

AIJul 24

Top 15 Logistics AI Use Cases & Examples

Persistent inefficiencies, rising operational costs, and ongoing supply chain disruptions continue to challenge logistics functions globally. In response, organizations are increasingly turning to artificial intelligence to improve resilience, optimize operations, and achieve measurable gains across inventory, transportation, and procurement.

AISep 16

Top 10 SEO AI Use Cases with Case Studies

Competing for visibility in search results has become increasingly difficult as algorithms evolve and user expectations rise. Traditional SEO methods, reliant on manual research and incremental updates, often fail to keep pace with these changes. AI-powered SEO tools address this challenge by automating complex tasks and aligning content more precisely with user intent.

AISep 15

Top 7 AI Avatar Generation Tools

When choosing the right AI avatar generation tool, businesses can take into account the following components: Top 7 AI avatar generation tools The table above is sorted based on the number of reviews. Sources: For more on prices, check the pricing comparison.

AIAug 14

Autonomous Things: Use Cases with Examples

Autonomous things (often shortened to AuT) are physical devices, such as vehicles, robots, and drones, that use onboard sensors, connectivity, and AI to perceive the physical world and autonomously complete tasks with little or no human direction Explore what autonomous things are and how they operate, their most common use cases with real-life examples, and

Enterprise SoftwareJun 27

AI eCommerce: 25 Use Cases to Optimize Sales and CX

AI is helping eCommerce businesses address key challenges like cart abandonment, inefficient customer support, and inventory mismanagement. AI eCommerce tools can reduce churn, optimize operations, and deliver personalized shopping experiences by analyzing customer behavior.. These capabilities not only enhance customer satisfaction but also drive sales growth in a competitive market.