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
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…
Compare Relational Foundation Models
We benchmarked SAP-RPT-1-OSS against gradient boosting (LightGBM, CatBoost) on 17 tabular datasets spanning the semantic-numeral spectrum, small/high-semantic tables, mixed business datasets, and large low-semantic numerical datasets. Our goal is to measure where a relational LLM’s pretrained semantic priors may provide advantages over traditional tree models and where they face challenges under scale or low-semantic structure.…
18 Procurement Case Studies & Lessons Learned
Effective procurement practices are necessary across all industries. By examining procurement case studies in various sectors, from non-profit to technology, healthcare, and beyond, we gain valuable insights into the impact of procurement solutions and best practices that can drive success in any industry. By examining procurement case studies from different sectors, we uncover how organizations…
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…
Top 10 Mortgage Chatbots: Use Cases & Examples
Banks that keep customers happy grow deposits 85% faster than competitors. Loan processing directly affects client satisfaction. . Chatbots can handle mortgage-related tasks around the clock, simulating what mortgage brokers typically do. We examine 10 vendors, their practical applications, and United Wholesale Mortgage’s implementation. *The table is sorted by rating score. Mortgage chatbots handle loan-related…
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