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
AI Agent Deployment: Steps and Challenges in 2026
Organizations are increasingly relying on AI agents to manage tasks that once required constant human effort, such as responding to customer queries, automating workflows, or coordinating data across different systems. While these agents can extend productivity and reduce operational load, their value is realized only when they are deployed correctly in production.
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 NinjaOne Strengths Shortcomings Acronis Strengths Shortcomings ManageEngine Strengths Shortcomings NinjaOne remote control deployment and session experience NinjaOne
Top 6 Social Media Post Generator Benchmark in 2026
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.
Top 10 Healthcare Analytics Use Cases with Examples ['26]
The $28 billion healthcare analytics marketis transforming how providers, payers, and life sciences organizations compete, and companies that move now can seize the advantage. By delivering solutions that drive predictive care, reduce costs, and optimize operations, analytics unlocks new revenue streams and strengthens customer loyalty in a healthcare industry racing toward data-driven performance.
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.
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.
Relational Foundation Models: SAP vs. Gradient Boosting
We benchmarked SAP-RPT-1-OSS against gradient boosting (LightGBM, CatBoost) on 17 tabular datasets spanning the full semantic-numeral spectrum, small/high-semantic tables, mixed business datasets, and large low-semantic numerical datasets.
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.
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.
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.
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.