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
MSP Automation: Acronis, ConnectWise Automate & Rewst
Managed service providers (MSPs) handle a constant operational load, including ticket management, patch management, onboarding, alert monitoring, billing reconciliation, and documentation updates. These are necessary but time-intensive tasks. Automation changes the equation by reducing manual workload and human error risk, enabling proactive responses through continuous system monitoring, and improving response times and consistency across client…
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…
Large Quantitative Models: Applications & Challenges
Modern systems are becoming too complex for traditional statistical analysis, as institutions now handle massive datasets, including patient, weather, and financial market data. Large quantitative models (LQMs) help by processing these datasets, integrating structured and unstructured data, and applying predictive modeling to uncover patterns and provide data-driven insights that traditional methods cannot deliver. Discover what…
Prices of Top 6 IT Service Management (ITSM) Software
IT Service Management (ITSM) tools that support incident, problem, change, and knowledge base management offer diverse pricing models. See IT service management pricing details of the top 6 providers and the feature guide for small businesses and enterprises. Note: Pricing information is obtained from vendor websites. Explore IT asset management pricing to discover additional vendors…
Top 10 Price Monitoring Tools: Bright Insights & Competera
Price monitoring tools track competitors’ prices and automatically adjust them to stay competitive. Explore the top 10 price monitoring tools, review their key features, pricing models, and see their search market share breakdown below: Table notes: * Global coverage options and high-frequency monitoring included in $2,000 monthly commitment. ** Bright Insights is built natively on…
LLM Quantization: BF16 vs FP8 vs INT4
We benchmarked Qwen3-32B at 4 precision levels (BF16, FP8, GPTQ-Int8, GPTQ-Int4) on a single NVIDIA H100 80GB GPU. Each configuration was evaluated on 2 benchmarks (~12.2K questions) covering knowledge and code generation, plus 2,000+ inference runs to measure throughput. Int4 is 2.7x faster than BF16 while losing less than 2 points on MMLU-Pro, but code…
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