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 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…
Top 15 Logistics AI Use Cases & Examples
Persistent inefficiencies, rising operational costs, and ongoing supply chain disruptions continue to challenge logistics functions globally. These pressures are straining traditional systems, reducing service reliability, and limiting organizations’ ability to scale. In response, companies are increasingly turning to artificial intelligence to enhance end-to-end visibility, strengthen resilience, and optimize core functions. As adoption accelerates, AI is…
AI in Sales: 15 Use Cases & Examples
Artificial intelligence can enhance sales processes from lead generation to sales forecasting, helping businesses overcome low conversion rates and long sales cycles. Check out AI in sales use cases structured around key sales activities to show how sales AI tools can accelerate the sales cycle and enhance sales effectiveness: Sales forecasting is crucial in the…
800+ Leading AI Benchmarks
We curated a list with over 800 AI benchmarks for LLMs, GPUs, cloud GPUs, AI agents, tabular AI, and cybersecurity that are not yet saturated. Note that most of the May–June peak corresponds to the period during which we carried out our research. Benchmarks that update continuously are dated to the last time we verified…
Top 10 AI Infrastructure Companies & Applications
Many organizations invest heavily in AI, yet most projects fail to scale. 10-20% of AI proofs of concept progress to full deployment. A key reason is that existing systems are not equipped to support the demands of large datasets, real-time processing, or complex machine learning models. As AI becomes more central to business strategy, infrastructure…
Compare AI Revenues Across the Stack
The AI market expanded rapidly across all four layers (data, compute, models, and applications). For example, NVIDIA’s data center revenue increased from $47.5B to $115.2B in a single fiscal year (FY2024 to FY2025, ending January 2024 and January 2025). We tracked revenue data from over 80 AI companies. Explore how revenues shifted across compute, data,…
AutoSys: Key Features and User Insights
Interest in Broadcom’s AutoSys is declining (Source: Google Trends) and it has a lower average rating on review platforms compared to most other workload automation tools. This may be partially explained by: Dive into AutoSys’s capabilities, user evaluations, and outlook to learn more: AutoSys was originally developed by CA Technologies and acquired by Broadcom in…
eCommerce Technologies Use Cases & Examples
Increasing competition in the eCommerce sector requires businesses to understand how technology is changing customer expectations. Organizations must remain informed about emerging tools and market developments to respond effectively and sustain service quality. Discover the top 15 eCommerce technologies in personalization and customer engagement, operations and efficiency, and payment systems: Chatbots and intelligent virtual assistants…
AI Rollups: Funding, Investors and Industry Trends
We analyzed 30 investments involving over 130 investors from the past 3 years to understand the current trend for AI rollups. Based on our analysis, we identified investor activity and trends, including the number of investors backing AI rollups, the total funding raised for AI rollups, and the leading industries. See the methodology to learn…
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.