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Sıla Ermut

Sıla Ermut

Industry Analyst
116 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

AIJan 14

Compare Multimodal AI Models on Visual Reasoning [2026]

We benchmarked 9 leading multimodal AI models on visual reasoning using 200 visual-based questions. The evaluation consisted of two tracks: 100 Chart Understanding questions testing data visualization interpretation, and 100 Visual Logic questions assessing pattern recognition and spatial reasoning. Each question was run 5 times to ensure consistent and reliable results.

AIJan 13

Top 16 Supply Chain AI Use Cases with Examples in 2026

The global supply chain management market is projected to reach nearly $31 billion by 2026, reflecting its growing importance across various industries.Yet despite this rise, recent disruptions, such as the COVID-19 pandemic and ongoing geopolitical tensions, have exposed deep vulnerabilities in supply chains, resulting in costly delays and operational inefficiencies.

Enterprise SoftwareJan 12

Top 10 Open-source Help Desks Based on GitHub Stars

Open-source help desk software offers organizations an alternative to proprietary customer support platforms, providing transparency, flexibility, and control over deployment. These systems are commonly used to manage support requests, customer interactions, and internal service processes through configurable ticketing and communication workflows.

Enterprise SoftwareJan 12

IT Asset Management (ITAM) Pricing Comparison in 2026

Finding the right IT Asset Management (ITAM) solution is key to controlling costs, reducing risks, and gaining full visibility into your IT infrastructure. Designed for IT managers, procurement teams, and SMEs, this comparison highlights how different pricing models and feature sets align with varying business needs.

AIJan 9

Top 20 Supply Chain AI Companies with Examples in 2026

From demand forecasting and inventory optimization to last-mile delivery and supplier negotiations, AI enables supply chain companies to process complex data, respond to disruptions more quickly, and make more informed decisions across global networks.

AIJan 8

AI Center of Excellence (AI CoEs): Real-Life Examples ['26]

Across industries, organizations use AI Center of Excellence (AI CoEs) to solve practical problems such as scaling AI initiatives, enforcing governance, reducing duplication, and connecting AI work to measurable business outcomes. Explore what an AI Center of Excellence is, why organizations set one up, and how it operates in practice.

AIDec 9

No-Code AI: Benefits, Industries & Key Differences in 2026

No-code AI tools allow users to build, train, or deploy AI applications without writing code. These platforms typically rely on drag-and-drop interfaces, natural language prompts, guided setup wizards, or visual workflow builders. This approach lowers the barrier to entry and makes AI development accessible to users without a programming background.

DataDec 8

Meta Learning: 7 Techniques & Use Cases in 2026

Training and fine-tuning a typical machine learning (ML) model can take weeks and cost thousands of dollars. Meta learning helps cut this down by leveraging prior learning experiences to accelerate training, reduce costs, and improve generalization. Explore the key meta-learning techniques and use cases in fields such as healthcare and online learning.

Enterprise SoftwareDec 8

Top 18 ITSM Case Studies in 2026

Leveraging IT Service Management (ITSM) tools is essential for businesses aiming to increase the efficiency of their IT operations and enhance service delivery.

Enterprise SoftwareDec 7

Top 10 AI in ITSM Use Cases & Examples in 2026

Leveraging AI for IT service management (ITSM) tools supports organizations in terms of: See the top 10 use cases of AI in ITSM, examples, and benefits of leveraging AI in ITSM.

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