Sıla Ermut
Sıla is an industry analyst at AIMultiple covering AI models, AI infrastructure, AI governance, and enterprise applications of AI.
Research interests
Sıla’s research focuses on the use of AI in marketing, healthcare, supply chains, and sustainability. She also covers AI evaluation, governance, ethics, and adoption.Her work includes researching and comparing AI technologies, analyzing their business applications, and contributing to AIMultiple’s technology benchmarks.
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
Compare 9 Large Language Models in Healthcare
We benchmarked 9 LLMs using the MedQA dataset, a graduate-level clinical exam benchmark derived from USMLE questions. Each model answered the same multiple-choice clinical scenarios using a standardized prompt, enabling direct comparison of accuracy. We also recorded latency per question by dividing total runtime by the number of MedQA items completed. Benchmark methodology: This benchmark…
Generative AI Copyright: Law & Litigation
We reviewed court decisions, regulatory actions, and licensing agreements to answer three key questions about generative AI and copyright. In August 2026, Anthropic faced further copyright litigation from major music publishers. Sony Music Publishing and Warner Chappell filed suit in August 28, following an August action by Round Hill Music.2 Concord and UMG seek more…
IT Documentation Benchmark & Review
We evaluated the leading IT documentation platforms to assess their performance, features, and usability. Our benchmark measured document creation workflows, editor capabilities, search accuracy, and relationship management across real-world scenarios, including error code searches, PDF content indexing, and command syntax preservation. *NinjaOne auto-saves drafts but doesn’t display them separately. Starting a new draft brings up…
CRM Pricing & Features Compared: See $/Seat Prices
Comparing CRM costs shouldn’t require a calculator and three spreadsheets. We analyzed pricing across 12 major platforms to show what companies actually pay once you factor in the extras nobody mentions up front. Most vendors hide real costs behind “contact us” buttons and tiered packages filled with features you won’t use. Here’s what we found.…
Compare Email Marketing Pricing: Top 20 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. Below, you can see the…
Top 15 IT Service Management Tools
We evaluated the top 15 IT service management tools based on user experience, performance, and feature set. Explore our findings to see how these leading solutions differ in areas including AI features, communication integrations, DevOps, monitoring & security connections, and deployment options. Sorting in the above table: Our subscribers are listed at the top with…
Top 20 Email Server Software: Features & Pricing
There are two main use cases for email servers. If you are looking for: Sorting: The list ranks providers, and our subscribers appear first with their respective links. We list all other providers in order of the total number of B2B user reviews collected from G2 and Capterra. We obtained pricing details and feature information…
Compare 15 AI Help Desk Tools
AI help desk software automates tasks such as answering common questions, routing tickets, and assisting agents with suggested responses. Businesses use it to improve efficiency, lower support costs, and deliver a better overall customer experience. We reviewed the top 15 AI help desks, including NinjaOne, Zendesk Support Suite, Zoho Desk, and Salesforce Service Cloud. Insights…
LLM Scaling Laws: Analysis from AI Researchers
Large language models predict the next token based on patterns learned from text data. The term LLM scaling laws refers to empirical regularities that link model performance to the amount of compute, training data, and model parameters used during training. To understand how these relationships influence modern model design in practice, we reviewed findings from…
AI Energy Consumption Statistics
A recent forecast predicts AI will use over half of data center electricity by 2028.51As compute-intensive workloads such as generative AI expand, total electricity demand is also expected to rise. We covered data from the IEA, MIT, and major cloud providers to identify AI energy consumption efficiency trends and policy responses and best practices. We…
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