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 Observability Software with Pricing Including SolarWinds
Observability platforms promise complete visibility across distributed systems, but selecting the right one is hard when every vendor claims they do everything. We analyzed the top 8 observability software products by reviewing their documented capabilities, public pricing, verified customer reviews, and enterprise reference cases. See the graph to learn each vendor’s search market share: *…
MSP Automation: NinjaOne, Acronis & ConnectWise
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 the risk of human error, enabling proactive responses through continuous system monitoring, and improving response times and consistency…
Large Multimodal Models (LMMs) vs LLMs
Evaluate LLMs and LMMs by comparing their benchmark scores and real-world latency by clicking the model’s name in the table below. You can also weigh their input and output pricing to judge overall efficiency and value. *Audio is native on the E2B, E4B and 12B models only. Available in five sizes: E2B, E4B, 12B, 26B…
Compare Top 10 All-in-One IT Management Platforms
All-in-one IT management platforms combine endpoint monitoring, patching, remote access, asset management, and service desk operations in one product. We compared the pricing and features of the top 10 all-in-one IT management tools. The table is sorted alphabetically, except for our subscribers at the top. We evaluated these tools across three criteria: deployment flexibility, free…
MongoDB Monitoring: SolarWinds vs New Relic vs Datadog
We installed SolarWinds, Datadog, and New Relic on clean systems running MongoDB 7.0 to test. We went through each tool’s complete setup process, documenting every step and roadblock. You can also see how these platforms monitor MySQL and our test environment and methodology SolarWinds finished the MongoDB integration in under 5 minutes. Solarwinds opens with…
MySQL Monitoring: SolarWinds vs New Relic vs Datadog
We installed three database monitoring platforms on a clean system running MySQL to see how they handle database monitoring from scratch. We examined: Ease of setup, onboarding experience, agent resource consumption, accuracy in metric measurement and effectiveness of their alerting systems’ notifications when issues arise under real-world database workloads. See our complete MySQL test methodology…
Wu Dao 3.0: China's Version of GPT-5
When the US cut off China’s access to advanced chips, the Beijing Academy of Artificial Intelligence faced a choice: complain about restrictions or work around them. They picked the second option. Wu Dao 3.0, launched in July 2023, throws out the playbook. No massive trillion-parameter models competing for headlines. Instead, BAAI now builds compact models…
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…
Time Series Foundation Models: Use Cases & Benefits
Time series foundation models (TSFMs) are pre-trained models that forecast, classify, impute, and detect anomalies in time series data without requiring a separate model for every dataset or industry. TSFMs use transformer-based architectures and large-scale time-series datasets to generalize across domains such as finance, retail, energy, and healthcare. Discover the architecture, use cases, adoption in…
Top 20 Sustainability AI Applications & 7 Tools
By applying generative AI to logistics optimization, demand forecasting, and waste reduction, companies can reduce emissions across their operations beyond the AI systems themselves. Discover 7 sustainability AI tools and 20 applications with real-world examples that leverage AI to build a smarter, more efficient, and more sustainable future. Google AI for Sustainability includes a set…
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