Sıla Ermut
Sıla is an industry analyst at AIMultiple focused on email marketing and sales videos.
Research interests
Sıla's research areas include email marketing, eCommerce marketing campaigns and marketing automation.She is also part of AIMultiple's email deliverability benchmark. She is designing and running email deliverability benchmarks while collaborating with the AIMultiple technology team.
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
AI Energy Consumption: Statistics from Key Sources [2026]
A recent forecast from Lawrence Berkeley National Laboratory predicts AI will use over half of data center electricity by 2028.That projection reflects a broader shift: AI energy consumption is no longer a marginal byproduct of computing, but a material driver of electricity demand, grid stress, and emissions.
Compare Remote Desktop Tools: NinjaOne & Acronis ['26]
We tested the top 3 remote desktop tools to evaluate the general UI and remote control experience, their remote control quality, protocols, and unique capabilities. The results of our file transfer test See our methodology to learn how we measured these tools.
Top 9 AI Providers Compared in 2026
The AI infrastructure ecosystem is growing rapidly, with providers offering diverse approaches to building, hosting, and accelerating models. While they all aim to power AI applications, each focuses on a different layer of the stack.
Compare Multimodal AI Models on Visual Reasoning [2026]
We benchmarked 9 leading multimodal AI models on visual reasoning using 200 visual-based questions. The evaluation consisted of two tracks: 100 Chart Understanding questions testing data visualization interpretation, and 100 Visual Logic questions assessing pattern recognition and spatial reasoning. Each question was run 5 times to ensure consistent and reliable results.
Large World Models: Use Cases & Real-Life Examples ['26]
Despite advances in large language models, artificial intelligence remains limited in its ability to understand and interact with the physical world due to the constraints of text-based representations. Large world models address this gap by integrating multimodal data to reason about actions, model real-world dynamics, and predict environmental changes.
Top 5 AI Guardrails: Weights and Biases & NVIDIA NeMo
As AI becomes more integrated into business operations, the impact of security failures increases. Most AI-related breaches result from inadequate oversight, access controls, and governance rather than technical flaws. According to IBM, the average cost of a data breach in the US reached $10.22 million, mainly due to regulatory fines and detection costs.
LLM Parameters: GPT-5 High, Medium, Low and Minimal
New LLMs, such as OpenAI’s GPT-5 family, come in different versions (e.g., GPT-5, GPT-5-mini, and GPT-5-nano) and with various parameter settings, including high, medium, low, and minimal. Below, we explore the differences between these model versions by gathering their benchmark performance and the costs to run the benchmarks. Price vs.
Top 20 Predictions from Experts on AI Job Loss in 2026
AI could eliminate half of entry-level white-collar jobs within the next five years. These job losses could affect the global workforce faster than previous waves of technological change. By 2027, millions of jobs may be displaced or significantly altered. While some roles will evolve, the workforce must prepare for a sharp increase in disrupted employment.
Top 20 Sustainability AI Applications & Examples in 2026
According to PwC, GenAI could improve operational efficiency, which might indirectly reduce carbon footprints in business processes. Companies can implement strategies to reduce energy consumption during the development, customization, and inference stages of AI models. By leveraging GenAI applications, companies can offset emissions in other areas of their operations.
Top 6 Social Media Post Generator Benchmark in 2026
Generative AI is playing a significant role in the creation and management of social media content. As more tools offer features like caption writing, image selection, and post scheduling, it’s helpful to understand how they compare.
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