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Sıla Ermut

Sıla Ermut

Industry Analyst
65 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

Agentic AI
Benchmark
Jul 28

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 tested the performance of 11 models across three real-life tasks and measured end-to-end execution performance: The task scores are normalized to a 0–100 scale. The overall…

AI
Insight
Jul 27

Top 20+ Predictions from Experts on AI Job Loss

As a McKinsey consultant, I helped enterprises adopt new technologies for a decade. My quick answers: Note: The size of the plots is correlated with the size of the job loss prediction. The percentages referenced in our analysis are derived from assumptions about overall job displacement. In specific scenarios, these assumptions included potential job gains…

AI
Insight
Jul 27

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 both an academic/societal problem and a reputational risk for companies; no company wants to be undermined by data or AI ethics scandals that damage its reputation. Explore insights into ethical issues that arise with the…

AI
Insight
Jul 27

Top 5 Facial Recognition Challenges & Solutions

Facial recognition is now part of everyday life, from unlocking phones to verifying identities in public spaces. Its reach continues to grow, bringing both convenience and new possibilities. However, this expansion also raises concerns about accuracy, privacy, bias, and fairness that need careful attention. The chart compares eight facial recognition systems using the Racial Faces…

AI
Insight
Jul 27

Top 125 Generative AI Applications

Based on our analysis of 30+ case studies and 10 benchmarks, where we tested and compared over 40 products, we identified 125 generative AI use cases across the following categories: For other applications of AI for requests where there is a single correct answer (e.g., prediction or classification), check out AI applications. You can also…

AI
Insight
Jul 24

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…

AI
Insight
Jul 24

LLM Scaling Laws: Analysis from AI Researchers

Large language models predict the next token based on patterns learned from text data. The term LLM scaling laws refers to empirical regularities that link model performance to the amount of compute, training data, and model parameters used during training. To understand how these relationships influence modern model design in practice, we reviewed findings from…

Enterprise Software
Insight
Jul 23

eCommerce Technologies Use Cases & Examples

Increasing competition in the eCommerce sector requires businesses to understand how technology is changing customer expectations. Organizations must remain informed about emerging tools and market developments to respond effectively and sustain service quality. Discover the top 15 eCommerce technologies in personalization and customer engagement, operations and efficiency, and payment systems: Chatbots and intelligent virtual assistants…

AI
Insight
Jul 23

Top 20 Sustainability AI Applications & Examples

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 sustainability AI applications with real-world examples that leverage AI to build a smarter, more efficient, and more sustainable future. We analyzed three systematic reviews and research articles (Artificial intelligence in…

Enterprise Software
Insight
Jul 23

Blockchain Case Studies Across Key Industries

We collected the top 20 real-world blockchain case studies to help executives identify mature and high-impact investment opportunities. Business challenge: The pharmaceutical supply chain needed to comply with the U.S. Drug Supply Chain Security Act, which requires interoperable tracking of prescription drugs through changes of ownership. The industry also faced risks from counterfeit drugs, fragmented…