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
Top 10 Drug Discovery Software
The drug discovery software market divides into three categories: computational chemistry suites for structure-based design, AI-native platforms for generative chemistry and target identification, and R&D data management systems for ELN, LIMS, synthesis tracking, data analysis, and compound registration. We compared the top 10 drug discovery platforms across features, pricing, and deployment models. Note: The products…
+100 Datasets for ML & AI Models
Data is required to leverage or build generative AI or conversational AI solutions. You can use existing datasets available on the market or hire a data collection service. We identified over 100 datasets to train and evaluate machine learning and AI models. Older benchmarks like HumanEval and SWE-bench Verified are now widely considered contaminated or…
World Foundation Models: 10 Use Cases
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. Explore how World Foundation Models work, their…
Top 8 SFTP Server Software
We compared 8 SFTP server implementations in a controlled test environment, focusing on transfer performance, concurrency, connection overhead, small-file workloads, resource efficiency, and operational experience. If you already use SFTP but want a more enterprise-ready file transfer approach, consider MFT solutions. Note: Lower scores indicate better performance. Read the methodology to learn about our test…
Top 5 AI Network Monitoring Tools & Real Life Examples
We compared the top 5 AI network monitoring tools with real-world deployments that show what AI monitoring looks like in practice. Note: Reviews are based on Capterra and G2. Vendors are ranked according to the number of reviews. NinjaOne is a unified IT operations platform combining remote monitoring, endpoint management, automated patching, and network discovery…
LLM Parameters: GPT-5 High, Medium, Low and Minimal
Some LLMs, such as OpenAI’s GPT-5 family, come in different versions (e.g., GPT-5, GPT-5-mini, and GPT-5-nano) and with various parameter settings, including high, medium, low, and minimal. Below, we explore the differences between these model versions by gathering their benchmark performance and the costs to run the benchmarks. We used the GPT-5 family in our…
Top 11 AI in Fashion Use Cases & Examples
Faced with creative bottlenecks, inefficient supply chains, and rising consumer expectations, fashion brands are seeking smarter solutions. McKinsey estimates that generative AI could boost operating profits in the fashion, apparel, and luxury sectors by up to $275 billion by 2028.31 Explore the top 11 use cases of AI in fashion to help fashion brands cut…
Federated Learning: 7 Use Cases & Examples
Federated learning (FL) enables models to learn from decentralized data while keeping sensitive information private and ensuring compliance with data localization and privacy laws. Explore what federated learning is, how it works, common use cases with real-life examples, potential challenges, and its alternatives. Federated learning supports a wide range of AI systems where data sensitivity,…
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: Check out the agent deployment process before jumping into our experiences and observations on remote access. See our methodology to learn how we measured…
Top 12 AI Avatar Generation Tools
When choosing the right AI avatar generation tool, businesses can take into account the following components: We tested 7 AI avatar generation tools and compared their visual (resolution and export capabilities) and voice (number of languages supported and voice cloning availability) features, as well as their pricing plans. We signed up for the free trial…
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.