Sıla Ermut
Sıla ist Branchenanalystin bei AIMultiple und spezialisiert auf E-Mail-Marketing und Vertriebsvideos.
Forschungsschwerpunkte
Sılas Forschungsschwerpunkte umfassen E-Mail-Marketing, E-Commerce-Marketingkampagnen und Marketingautomatisierung. Sie ist außerdem Teil des AIMultiple-Projekts zur E-Mail-Zustellbarkeits-Benchmark-Analyse. In Zusammenarbeit mit dem Technologie-Team von AIMultiple entwickelt und implementiert sie Benchmarks zur E-Mail-Zustellbarkeit.Berufserfahrung
Sıla arbeitete zuvor als Personalvermittlerin und war in Projektmanagement- und Beratungsunternehmen tätig.Ausbildung
Sie hält:- Bachelor of Arts-Abschluss in Internationalen Beziehungen von der Bilkent-Universität.
- Master of Science-Abschluss in Sozialpsychologie von der Başkent-Universität.
Neueste Artikel von Sıla
Produktivität von KI-Agenten: Unternehmensgewinne maximieren
AI agent productivity is emerging as a measurable driver of business output. Studies report up to 30% productivity gains, indicating that agents can handle procedural steps, retrieve information, and interact with enterprise systems with consistent accuracy.
Top 11 KI-Anwendungsfälle in ITSM & Beispiele
Leveraging AI for IT service management (ITSM) tools supports organizations in terms of: See the top 11 use cases of AI in ITSM, examples, and benefits of leveraging AI in ITSM.
Top 11 KI-Anwendungen in der Modebranche & Beispiele
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.
20 Strategien zur Verbesserung von KI & Beispiele
AI models require continuous improvement as data, user behavior, and real-world conditions evolve. Even well-performing models can drift over time when the patterns they learned no longer match current inputs, leading to reduced accuracy and unreliable predictions.
eCommerce AI-Bildbearbeitung: 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.
Top 10 KI-Avatar-Generierungstools
When choosing the right AI avatar generation tool, businesses can take into account the following components: We tested 6 AI avatar generation tools and compared their visual (resolution and export capabilities) and voice (number of languages supported and voice cloning availability) features, as well as their pricing plans.
Top 20 KI-Tools für die Lieferkette mit Beispielen
From demand forecasting and inventory optimization to last-mile delivery and supplier negotiations, AI enables supply chain companies to process complex data, respond to disruptions more quickly, and make more informed decisions across global networks.
Top 8 Software für die Wirkstoffentdeckung
The drug discovery software market divides into three categories: computational chemistry suites for structure-based design, AI-native platforms for generative chemistry and target identification, and R&D data management systems for ELN, LIMS, synthesis tracking, data analysis, and compound registration. We compared the top 8 drug discovery platforms across features, pricing, and deployment models.
Top 10 Sprach-Bots: Bland AI, ElevenLabs & PolyAI
A voice bot or voice AI agent listens to the caller, uses speech recognition to convert spoken words into text, applies natural language processing and natural language understanding to identify customer intent, and then returns an answer via text-to-speech.
Vergleich multimodaler KI-Modelle in Bezug auf visuelles Reasoning
We benchmarked 15 leading multimodal AI models on visual reasoning using 200 visual-based questions. The evaluation consisted of two tracks: 100 chart understanding questions testing data visualization interpretation, and 100 visual logic questions assessing pattern recognition and spatial reasoning. Each question was run 5 times to ensure consistent and reliable results.
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