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
IT Asset Management (ITAM) Pricing Comparison
We compared IT Asset Management pricing plans and selected the following providers as the top solutions: *Only an annual plan is offered. Sorting in the table: The table is sorted by price (from lowest to highest). NinjaOne IT Asset Management uses a per-device pricing model, with the final rate shaped by a few variables: JumpCloud…
AGI/Singularity: 10,000 Predictions Analyzed
Artificial general intelligence (AGI) is when an AI system matches human cognitive abilities across all tasks. We analyzed 10,000 AI researchers‘, leading entrepreneurs‘, and community predictions about the AGI timeline: Will AGI/singularity happen? AGI is inevitable according to most AI experts. When will we reach AGI? Between late 2020s and early 2030s. AGI timeline shortened…
Enterprise Generative AI: 11 Use Cases & Best Practices
Generative AI (GenAI) presents novel opportunities for enterprises compared to middle-market companies or startups, including: However, generative AI brings challenges unique to large organizations. For example: Explore our practical enterprise AI use cases to learn how large companies can build, deploy, and govern their own generative AI models effectively. The web is full of B2C…
Top 15 Globalscape Alternatives
We analyzed the leading alternatives to GlobalScape in the secure file transfer space: * Ratings are based on Capterra and G2. Vendors are listed by review rate, and our sponsors appear at the top. GlobalScape handles enterprise file transfers through folder monitoring and trigger-based automation. Watch a directory, and the system automatically routes files to…
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…
Top 12 AI Control Plane Tools for Regulated Deployments
An AI control plane provides a shared layer for operating AI agents and agent-based applications. We compared the top 12 AI control plane tools for enterprise architects, security teams, and AI governance owners planning AI adoption at enterprise scale. Read the methodology to see how we chose and scored these products. Note: The tables are…
20 Strategies for AI Improvement & Examples
AI models require continuous improvement as data, user behavior, and real-world conditions evolve. Even well-performing models can drift when the patterns they learned no longer match current inputs, leading to reduced accuracy and unreliable predictions. Changes in regulations, product requirements, or customer expectations can also introduce new constraints that existing models were not designed to…
AIM Agentic Marketing Benchmark
We are introducing the AIM Agentic Marketing Benchmark, which measures agent performance on three marketing workflows: competitive gap analysis, ABM target list preparation, and a personalized sales deck. We also ran a separate website reputation audit in which agents examined AIMultiple’s English-language content and reported verifiable issues with factual accuracy, citations, consistency, freshness, functionality, grammar,…
Top 5 AI Guardrails: W&B Weave and Xnode Cortx
AI security failures are expensive and increasingly common. Many incidents stem from weak governance, particularly gaps in access control, data permissions, and oversight of model usage. AI guardrails reduce this risk by setting enforceable boundaries for how AI systems access data, generate outputs, and interact with users or business workflows. Explore how AI guardrails operate,…
10+ Large Language Model Examples
We have gathered open-source benchmarks to compare leading proprietary and open-source large language models. Choose your use case to find the right model. You can evaluate large language models by examining their benchmark performance and real-world latency (available by clicking each model’s name in the table), and by reviewing their pricing to assess overall efficiency…
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