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
5 AI Training Steps & Best Practices in 2026
AI can boost business performance, but 85% of AI projects fail, often due to poor model training. Challenges such as poor data quality, limited scalability, and compliance issues hinder success. Check out the top 5 steps in AI training to help businesses and developers train AI models more effectively.
LLM Quantization: BF16 vs FP8 vs INT4 in 2026
Quantization reduces LLM inference cost by running models at lower numerical precision. We benchmarked 4 precision formats of Qwen3-32B on a single H100 GPU. We ran over 2,000 inference runs and 12,000+ MMLU-Pro questions to measure the real-world trade-offs between speed, memory, and accuracy.
World Foundation Models: 10 Use Cases in 2026
Training robots and autonomous vehicles (AVs) in the physical world can be costly, time-consuming, and risky. World Foundation Models offer a scalable alternative by enabling realistic simulations of real-world environments. These models accelerate development and deployment in robotics, AVs, and other domains by reducing reliance on physical testing.
Top 5 AI Services to Enhance Business Efficiency in 2026
AI adoption is rapidly increasing. Around 98% of companies are experimenting with AI, reflecting its growing accessibility and potential to improve operations. Yet only 26% have advanced beyond trials to achieve measurable business value, showing that many are still building the capabilities needed to scale AI effectively.
AI Agent Productivity: Maximize Business Gains in 2026
AI agent productivity is emerging as a measurable driver of business output. Studies report up to 30% productivity gains, indicating that agents can handle procedural steps, retrieve information, and interact with enterprise systems with consistent accuracy.
Top 125 Generative AI Applications
Based on our analysis of 30+ case studies and 10 benchmarks, where we tested and compared over 40 products, we identified 125 generative AI use cases across the following categories: For other applications of AI for requests where there is a single correct answer (e.g., prediction or classification), check out AI applications.
Text-to-Video Generator Benchmark in 2026
A text-to-video generator is an AI system that turns written prompts into short videos by generating visuals, motion, and sometimes audio directly from natural language.
Compare Remote Control Software: NinjaOne & Acronis
We tested the top 3 remote control software (also known as remote access software) to evaluate the general UI and remote control experience, their remote control quality, protocols, and unique capabilities: Strengths and weaknesses based on our observations An agent needs to be installed for each tool we tested in this benchmark.
Generative AI Marketplace: Use Cases & Structure in 2026
Generative AI marketplaces have become a central layer in how digital marketplaces operate and how businesses access AI capabilities. The main value comes from personalization, automation, and lower barriers to experimentation. Explore the generative AI marketplace use cases, top marketplaces, and market structure.
AI Ad Generator: Compare Icon, AdGen & AdCreative ['26]
Creating high-converting digital ads remains a challenge for businesses aiming to reach diverse audiences across platforms like Google, Facebook, and LinkedIn. AI ad generators offer a solution by automating ad creation, enabling faster production, broader customization, and data-driven content optimization.
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