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
Frugal AI: Principles, Use Cases & Real-life Examples
From healthcare providers in remote regions to manufacturers optimizing production lines, many industries face limits in budget, infrastructure, and energy use when adopting artificial intelligence. Frugal AI addresses these constraints by prioritizing efficiency, sustainability, and inclusivity, enabling AI systems to deliver measurable value with minimal resources.
Compare Email Marketing Pricing: Top 15 Providers
Choosing an email marketing service that fits your budget is key to effective campaigns. Basic plans often include features such as email design tools, contact management, and limited automation, making them ideal for small businesses. Higher-tier plans offer advanced automation, segmentation, analytics, and integrations, making them suitable for larger enterprises.
Top 13 Supply Chain AI Use Cases with Examples
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.
Top 20 Supply Chain AI Companies with Examples
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.
40+ Self-Driving Cars Stats
The autonomous vehicles industry reached a turning point in the 2020s. What was once experimental is now entering commercial use, with market valuations reaching $68 billion depending on methodology. Discover self-driving cars stats that outline the current state of deployment, safety, adoption, regulation, and economic impact.
Meta AI Applications and Research Examples
Rather than existing only in research labs, artificial intelligence now shapes the tools people use to connect, work, and create. Meta AI, formerly Facebook AI, drives this transformation by linking research in vision, language, audio, and robotics with applications that reach billions across its platforms.
Top 15 Use Cases in AI for Neurology with Examples
Neurological disorders are among the most complex and costly to diagnose and manage, contributing billions in global healthcare expenditures each year.
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.
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.
Multimodal AI in Healthcare: Use Cases with Examples
Healthcare systems face challenges in delivering accurate diagnoses, timely interventions, and personalized treatments, often because critical patient information is scattered across different data sources. Multimodal AI offers a solution by combining medical images, clinical notes, lab results, and other data into a unified framework that mirrors how clinicians think and reason.
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.