Sena Sezer
Sena is an industry analyst in AIMultiple.
Research interests
Sena is focused on- IT management including network monitoring and managed file transfer (MFT).
- CRM. While researching CRM products, she relies on her 3 years of experience as a technical marketer.
Sena is part of AIMultiple MFT benchmark team. She is working with AIMultiple tech team to formulate an MFT benchmark including top MFT software providers.
Professional experience
Sena has worked as a- technical marketer in e-commerce for 3 years
- as a software developer and website designer.
Education
Latest Articles from Sena
Top 6 AS2 Software in 2026
Finding AS2 software that fits your budget and technical needs takes some digging.
Top 10 Globalscape Alternatives in 2026
We analyzed the leading alternatives to GlobalScape in the secure file transfer space. The best alternatives to GlobalScape depend on your specific requirements. Explore alternatives based on your priorities: * Ratings are based on Capterra and G2. The vendors are listed according to the review rates.
Top 12 RMM Software Tested: Features and Pricing in 2026
RMM software components keep business devices secure and efficient, thanks to features like patch management. We benchmarked top 3 RMM platforms (NinjaOne, ManageEngine, and Acronis) by deploying them to seven servers across six AWS regions. We analyzed how they handle agent deployment and monitoring from scratch.
Generative AI in Insurance: 10 Use Cases & 5 Challenges
Generative Artificial Intelligence (AI) emerges as a promising solution, capable of not only streamlining operations but also innovating personalized services, despite its potential implementation challenges. The insurance value chain, from product development to claims management, is a complicated process.
Top 5 DNS Security Solutions: Features & Benchmark ['26]
We compared the top DNS security solutions, their features, pricing, and unique aspects to help you find the right protection for your network. Click the product names to see why we recommend them: Benchmark Results With over 20 DNS security tools on the market, picking the right one isn’t straightforward.
GPT-5: Best Features, Pricing & Accessibility in 2026
We now have GPT-5, the latest and one of the most advanced language models. GPT-4 vs. GPT-5 The interactive comparison below shows how GPT-5 differs from GPT-4 across architecture, performance, and pricing. Historical Progression Release & Architecture What’s Different in GPT-5 Multiple Models, One System GPT-4 ran every prompt through the same model.
AI Text Generation: Top 16 Use Cases & 4 Case Studies
Generative AI, a subset of artificial intelligence, allows for creating new content, such as text, code, images, designs, and videos, by learning from and building on existing data. Explore how generative AI can be used to generate content in the form of text via 4 use cases and 2 case studies of AI text generation..
Top 13 Use Cases of Generative AI in Education in 2026
Generative AI is an advanced technology that can rapidly produce lifelike images, text, and animations. In our research, we examined its use across various industries, including healthcare and banking. While other technologies, such as conversational AI and robotic process automation (RPA), are being implemented in education, generative AI is not being properly implemented in education.
Synthetic Users Explained: Top 7 AI User Research Tools
Traditional research requires weeks of finding participants, scheduling interviews, and analyzing results manually. Synthetic user platforms enable teams to create thousands of realistic user profiles instantly, allowing them to test ideas, messaging, and user flows.
Generative AI in Retail: Use Cases, Examples & Benefits
Retail businesses strive to enhance customer experiences and loyalty. This requires producing attractive content in various formats, effective marketing efforts, and exceptional customer service. With generative AI, retailers can resolve most of these issues through automation, particularly by enhancing their ability to analyze customer data for more personalized customer experiences.
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