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Sıla Ermut

Sıla Ermut

Industry Analyst
70 Articles
Stay up-to-date on B2B Tech

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

Enterprise SoftwareMar 26

Compare Top 4 eCommerce Data Integration Software

We tested the top 4 eCommerce data integration tools using 12 products, 6 customers, and 15 orders to evaluate data accuracy, setup ease, sync speed, mapping flexibility, and error handling. eCommerce data integration benchmark results Read the benchmark methodology to learn how we tested and measured these tools.

Enterprise SoftwareMar 26

Top 15 IT Service Management Tools

We evaluated the top 15 IT service management tools based on user experience, performance, and feature set. Explore our findings to see how these leading solutions differ in areas including AI features, communication integrations, DevOps, monitoring & security connections, and deployment options.

AIMar 23

No-Code AI: Benefits, Industries & Key Differences

No-code AI tools allow users to build, train, or deploy AI applications without writing code. These platforms typically rely on drag-and-drop interfaces, natural language prompts, guided setup wizards, or visual workflow builders. This approach lowers the barrier to entry and makes AI development accessible to users without a programming background.

Agentic AIMar 23

15 AI Agents in Marketing Tools & Examples

Research shows that 50% of organizations using generative AI plan to launch agentic AI pilot programs in 2025.AI agents in marketing represent a significant shift in the industry, introducing systems that can reason, make decisions, and act with minimal human oversight.

AIMar 17

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.

Enterprise SoftwareMar 16

Control-M for Enterprise Workload Automation

Control-M by BMC Software helps teams coordinate and automate data and application workflows across environments, including mainframes, the cloud, and hybrid systems. It gives users a single place to schedule jobs, track progress, and handle dependencies.

AIMar 16

eCommerce AI Image Editing: GPT Images & Nano Banana

AI image editing tools analyze and automatically adjust product photos, allowing eCommerce businesses to enhance quality, remove backgrounds, or modify details with minimal effort. We tested the top 7 AI image editing tools on 20 images and 20 prompts across five dimensions, including prompt adaptability, realism, shadows, color rendering, and image quality.

Enterprise SoftwareMar 12

Top 10 Price Monitoring Tools

Price monitoring tools track competitors’ prices to enable pricing strategies that respond to market changes and stay competitive as conditions shift. Explore the top 10 price monitoring tools, review their key features and pricing models, and learn how they can enable pricing strategies that respond to market changes.

AIMar 11

AI Ethics Dilemmas with Real Life Examples

Though artificial intelligence is changing how businesses work, there are concerns about how it may influence our lives. This is not just an academic or societal problem, but a reputational risk for companies; no company wants to be undermined by data or AI ethics scandals that damage its reputation.

AIMar 9

AI Ad Generator: Compare Icon, AdGen & AdCreative

Creating high-converting digital ads remains a challenge for businesses aiming to reach diverse audiences across platforms like Google, Facebook, and LinkedIn. AI ad generators offer a solution by automating ad creation, enabling faster production, broader customization, and data-driven content optimization.