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
Large Quantitative Models: Applications & Challenges ['26]
Modern systems are becoming too complex for traditional statistical analysis, as institutions now handle massive datasets, including patient data, weather data, and financial market data. Large quantitative models (LQMs) help by processing these datasets, integrating structured and unstructured data, and applying predictive modeling to uncover patterns and provide data-driven insights that traditional methods cannot deliver.
Time Series Foundation Models: Use Cases & Benefits ['26]
Time series foundation models (TSFMs) build on advances in foundation models from natural language processing and vision. Using transformer-based architectures and large-scale training data, they achieve zero-shot performance and adapt across sectors such as finance, retail, energy, and healthcare.
Generative AI for Email Marketing: Applications & Examples
Generative AI has evolved beyond basic email content creation to enable real-time personalization, multimodal interactions, and cross-channel orchestration that responds to customer behavior. While 60% of CMOs plan to prioritize AI adoption by 2026,current implementations often miss critical capabilities like dynamic content adaptation and voice-integrated workflows that are reshaping email effectiveness.
Top 10 Email Server Software: Features & Pricing in 2026
There are two main use cases for email servers. If you are looking for: Top 5 transactional email providers Sorting: The list ranks providers, with sponsored entries shown first along with their respective links. All non-sponsored providers are listed in order of the total number of B2B user reviews collected from G2 and Capterra.
10 Computer Vision Agriculture Use Cases & Examples ['26]
Labor shortages, resource inefficiencies, and environmental pressures increasingly challenge agriculture. Climate change adds to this burden through extreme weather, water scarcity, and rising pest threats, further straining productivity and sustainability. Computer vision offers targeted solutions by enabling automation and data-driven insights across critical farming operations.
How to Create Ordinal Inscriptions: Step by Step Guide ['26]
Creating NFTs on the Bitcoin blockchain can be complex due to limited wallet support, technical steps, and high transaction fees. As ordinal inscriptions, also known as Bitcoin NFTs, gain popularity, understanding how to create and manage them has become 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.
Top 8 Computer Vision Construction Use Cases & Examples
Adopting AI technologies, such as computer vision, is accelerating in the construction industry, offering solutions for safety, efficiency, and quality control. However, challenges like an aging workforce and high-risk tasks continue to hinder widespread implementation. Explore the top 8 use cases with real-life examples where computer vision construction technologies already impact construction sites.
AI Fail: 4 Root Causes & Real-life Examples in 2026
Whether it’s a self-driving car crash, a biased algorithm, or a breakdown in a customer service chatbot, failures in deployed AI systems can have serious consequences and raise important ethical and societal questions.
Artificial Superintelligence: Opinions, Benefits & Challenges
The prospect of artificial superintelligence (ASI), a form of intelligence that would exceed human capabilities across all domains, presents both opportunities and significant challenges. Unlike current narrow AI systems, ASI could independently enhance its capabilities, potentially outpacing human oversight and control. This development raises concerns regarding governance, safety, and the distribution of power in society.
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