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Sıla Ermut

Sıla Ermut

Industry Analyst
106 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

AIAug 29

Large World Models: Use Cases & Real-Life Examples

Artificial intelligence has advanced significantly with the development of large language models; however, these systems continue to struggle to comprehend and interact with the physical world. Text alone cannot capture spatial relationships, dynamic environments, or the causal impact of actions, thereby limiting progress in fields such as robotics, healthcare, and autonomous systems.

AIAug 28

Hyper-Personalization in Marketing: Use Cases & Examples

Gen Z is reshaping retail with unique consumer behaviors. With their projected $12 trillion spending power by 2030, they will heavily influence what brands sell.They see marketing as valuable only when it is authentic, values-driven, and empathetic, rejecting anything that feels fake, jargon-heavy, or disconnected from real people and causes.

AISep 8

Multimodal AI in Healthcare: Use Cases with Examples

Healthcare systems face challenges in delivering accurate diagnoses, timely interventions, and personalized treatments, often because critical patient information is scattered across different data sources. Multimodal AI offers a solution by combining medical images, clinical notes, lab results, and other data into a unified framework that mirrors how clinicians think and reason.

AIAug 25

Time Series Foundation Models: Use Cases & Benefits

Time series foundation models (TSFMs) build on advances in foundation models from natural language processing and vision. Using transformer-based architectures and large-scale training data, they achieve zero-shot performance and adapt across sectors such as finance, retail, energy, and healthcare.

AIJul 29

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.

AIJul 23

Artificial Superintelligence: Opinions, Benefits & Challenges

The prospect of artificial superintelligence (ASI), a form of intelligence that would exceed human capabilities across all domains, presents both opportunities and significant challenges. Unlike current narrow AI systems, ASI could independently enhance its capabilities, potentially outpacing human oversight and control. This development raises concerns regarding governance, safety, and the distribution of power in society.

DataJul 7

Inverse Reinforcement Learning: Use Cases & Examples

Inverse reinforcement learning is an approach in machine learning where machines infer the goals or reward structures that guide an expert’s behavior by observing their actions rather than receiving explicit instructions. Discover what inverse reinforcement learning is, how it works, and the top industry use cases with examples.

AIOct 8

Top 19 Predictions from Experts on AI Job Loss

AI could eliminate half of entry-level white-collar jobs within the next five years. The shift will occur rapidly, with job losses affecting the global workforce sooner than previous waves of technological change. By 2027, millions of jobs may be displaced or significantly altered.

AISep 30

Top 9 AI Infrastructure Companies & Applications

Many organizations invest heavily in AI, yet most projects fail to scale. Only 10-20% of AI proofs of concept progress to full deployment. A key reason is that existing systems are not equipped to support the demands of large datasets, real-time processing, or complex machine learning models.

AIJul 21

Top 6 Social Media Post Generator Benchmark

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.