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Sıla Ermut

Sıla Ermut

Branchenanalyst
74 Artikel
Bleiben Sie über B2B-Technologie auf dem Laufenden

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.
Ihre Masterarbeit befasste sich mit ethischen und psychologischen Bedenken im Zusammenhang mit KI. Sie untersuchte den Zusammenhang zwischen KI-Nutzung, Einstellungen zu KI und existenziellen Ängsten bei unterschiedlichen Nutzungsintensitäten von KI.

Neueste Artikel von Sıla

KIMär 30

E-Commerce AI-Video-Ersteller-Benchmark: Veo 3 vs Sora 2

Product visualization plays a crucial role in e-commerce success, yet creating high-quality product videos remains a significant challenge. Recent advancements in AI video generation technology offer promising solutions.

KIMär 27

Text-zu-Sprache-Software: Hume & ElevenLabs

As AI capabilities evolve, text-to-speech (TTS) software is becoming more adept at producing natural, human-like speech. We evaluated and compared the performance of five different TTS and sentiment analysis tools (Resemble, ElevenLabs, Hume, Azure, and Cartesia) across seven core emotion categories to determine which could most accurately, consistently, and comprehensively recognize emotional tones.

KIMär 23

No-Code AI: Vorteile, Branchen & Hauptunterschiede

No-code AI tools allow users to build, train, or deploy AI applications without writing code. These platforms typically rely on drag-and-drop interfaces, natural language prompts, guided setup wizards, or visual workflow builders. This approach lowers the barrier to entry and makes AI development accessible to users without a programming background.

KIMär 11

Ethische Dilemmata der KI anhand von Beispielen aus dem echten Leben

Though artificial intelligence is changing how businesses work, there are concerns about how it may influence our lives. This is not just an academic or societal problem, but a reputational risk for companies; no company wants to be undermined by data or AI ethics scandals that damage its reputation.

KIMär 5

Große quantitative Modelle: Anwendungen & Herausforderungen

Modern systems are becoming too complex for traditional statistical analysis, as institutions now handle massive datasets, including patient data, weather data, and financial market data. Large quantitative models (LQMs) help by processing these datasets, integrating structured and unstructured data, and applying predictive modeling to uncover patterns and provide data-driven insights that traditional methods cannot deliver.

KIMär 4

AI-Fail: 10 Ursachen & Beispiele aus der Praxis

Whether it’s a self-driving car crash, a biased algorithm, or a breakdown in a customer service chatbot, failures in deployed AI systems can have serious consequences and raise important ethical and societal questions.

UnternehmenssoftwareMär 2

Top 20 E-Mail-Server-Software: Funktionen & Preise

There are two main use cases for email servers. If you are looking for: Top 15 transactional email providers Sorting: The list ranks providers, with sponsored entries shown first along with their respective links. All non-sponsored providers are listed in order of the total number of B2B user reviews collected from G2 and Capterra.

UnternehmenssoftwareFeb 27

10 Best Practices & Beispiele für die eCommerce-Datenerfassung

As online shopping grows and customer expectations shift, eCommerce businesses face increasing pressure to stay competitive. Real-world data is key to making faster, smarter decisions. Failing to collect and utilize data properly can result in missed sales, inefficient operations, and poor customer retention.

KIFeb 25

Generative KI für E-Mail-Marketing: Anwendungen & Beispiele

Generative AI has evolved beyond basic email content creation to enable real-time personalization, multimodal interactions, and cross-channel orchestration that responds to customer behavior.

UnternehmenssoftwareFeb 24

Vergleich E-Mail-Marketing-Preise: Top 20 Anbieter

Choosing an email marketing service that fits your budget is key to effective campaigns. Basic plans often include features such as email design tools, contact management, and limited automation, making them ideal for small businesses. Higher-tier plans offer advanced automation, segmentation, analytics, and integrations, making them suitable for larger enterprises.