Sıla Ermut
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
Top 20 Blockchain in Supply Chain Case Studies
Blockchain technology is gaining popularity as a solution to long-standing problems in supply chain management. By offering a decentralized and tamper-proof method for recording transactions, blockchain can address issues related to traceability, transparency, and trust among supply chain partners.
Top 15 Strategies for AI Improvement & Examples
AI systems achieved remarkable milestones (e.g., exceeding human performance in image and speech recognition); however, AI progress is slowing down as scaling yields fewer benefits. Additionally, AI and ML models degrade over time unless they are regularly updated or retrained.This makes it critical to utilize all levers to improve AI models continually.
Top 123 Generative AI Applications & Real-Life Examples
Based on our analysis of 30+ case studies and 10 benchmarks, where we tested and compared over 40 products, we identified 120 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.
eCommerce Technologies Use Cases & Examples
A few tech and retail giants dominate the eCommerce sector, which is growing at ~10%/year.To compete, smaller businesses should invest in tech to lower costs and increase customer satisfaction, and boost profitability.
Top 10 AI in Fashion Use Cases & Examples
Faced with creative bottlenecks, inefficient supply chains, and rising consumer expectations, fashion brands are seeking smarter solutions. McKinsey estimates that generative AI could boost operating profits in the fashion, apparel, and luxury sectors by up to $275 billion by 2028.
50+ Datasets for ML & AI Models
Data is required to leverage or build generative AI or conversational AI solutions. You can use existing datasets available on the market or hire a data collection service. We identified 50+ datasets to train and evaluate machine learning and AI models.
5 AI Training Steps & Best Practices
AI can boost business performance, but 85% of AI projects fail, often due to poor model training. Challenges such as poor data quality, limited scalability, and compliance issues hinder success. Check out the top 5 steps in AI training to help businesses and developers train AI models more effectively.
Top 15 Use Cases in AI for Neurology with Examples
Neurological disorders are among the most complex and costly to diagnose and manage, contributing billions in global healthcare expenditures each year.
Top 20 Sustainability AI Applications & Examples
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 8 Computer Vision Construction Use Cases & Examples
Adopting AI technologies, such as computer vision, is accelerating in the construction industry, offering solutions for safety, efficiency, and quality control. However, challenges like an aging workforce and high-risk tasks continue to hinder widespread implementation. Explore the top 8 use cases with real-life examples where computer vision construction technologies already impact construction sites.
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