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
Top 6 AI Email Assistant Software
An AI email assistant supports email management processes and helps enhance productivity by automating responses, scheduling meetings, and managing tasks while providing continuous support. We selected the top 6 AI email assistants below based on their capabilities in drafting messages, offering personalized suggestions, and organizing inboxes.
Generative AI in Manufacturing: Use Cases & Benefits
Generative AI is becoming a strategic tool for manufacturers facing challenges such as supply chain disruptions, labor shortages, and rising cost pressures. It helps automate design, predict maintenance needs, and optimize supply chains, while driving efficiency, reducing costs, and speeding up innovation.
XRay AI: Definition, Use Cases & Examples
The integration of artificial intelligence (AI) to radiology is not a futuristic vision; it’s already redefining clinical workflows, particularly in X-ray imaging. AI tools are now embedded into imaging systems, enabling real-time decision support and improving workflow efficiency, image quality, and clinical accuracy.
Top 6 Radiology AI Use Cases for Improved Diagnostics
Radiology teams are under pressure from growing scan volumes, staff burnout, and the risk of diagnostic mistakes. These challenges are making it harder to deliver timely and accurate care. AI is helping to ease the burden by accelerating image analysis, minimizing errors, and facilitating more informed decisions.
AI in Healthcare: Challenges & Best Practices
Although AI holds great promise for advancing healthcare systems, its real-world impact has often fallen short of expectations. For instance, less than 1% of AI tools developed during the COVID-19 pandemic were successfully deployed in clinical settings.
Top 10 Applications of Deep Learning in Manufacturing
Deep learning, a subset of artificial intelligence and machine learning, uses predictive analytics to extract insights, improve productivity, reduce defects and maintenance costs, and accounts for approximately 40% of the annual value generated by all analytics approaches.
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.
AI in Sales: 25 Use Cases & Real-life Examples
Artificial intelligence can transform and enhance sales processes from lead generation to sales forecasting, helping businesses overcome low conversion rates and long sales cycles.
Top 5 Computer Vision Security Applications & Examples
As global crime rates rise, the demand for scalable and efficient security solutions is growing. The market is projected to reach $39 billion by 2029, growing at a CAGR of approximately 10% from 2025 to 2029. Conventional manual surveillance is limited by human capacity; personnel can only monitor footage for short periods with inconsistent accuracy.
Google's AI Strategy and 11 Key Developments
Google’s current artificial intelligence strategy emphasizes advanced integration of AI models into enterprise solutions, with significant investments focused on improving functionality, accuracy, and efficiency. Check out 10 recent developments for businesses considering implementing Google’s AI tools and platforms into their workflows. 1. Gemini 2.5: Google’s advanced multimodal AI Google DeepMind launched Gemini 2.
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