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
CRM AI Systems: Top 5 Vendors and Key Features in 2026
We tracked 50+ product announcements from major CRM vendors, analyzed integration launches from Salesforce, HubSpot, and Microsoft, and cross-referenced adoption data from 15+ industry research reports to understand which AI CRM features actually deliver value versus marketing hype.
AI Web Browsers Benchmark: Complete Selection Guide 2026
We tested 10 AI-powered browsers by running identical tasks across each platform: webpage summarization, multi-site research, form automation, and cross-tab workflows. We documented which features worked as advertised and which failed during actual use.
CRM Pricing & Features Compared: See $/Seat Prices ['26]
Factors influencing CRM pricing
Top 10 Network Monitoring Software in 2026
We tested network monitoring tools to find which ones actually deliver on their promises. Here’s what we found after benchmarking performance, ease of setup, and real-world usability. See the top network monitoring tools, assessment of their user experience, and their key features: * Vendors are ordered alphabetically.
40 ChatGPT Business Use Cases That Actually Work ['26]
Businesses struggle to identify which ChatGPT applications deliver value versus which waste time. Fine-tuning to your specific needs matters more than generic prompting. General Use Cases of ChatGPT for Business Structured Tasks: Where ChatGPT Excels ChatGPT handles structured tasks requiring consistency and predefined formats better than creative or ambiguous work. 1.
AI Chatbot Pricing: Chatbot Cost Comparison in 2026
Chatbots reduce customer support costs while maintaining 24/7 availability. With generative AI chatbots like ChatGPT, more businesses are adopting them. Ambiguous pricing models create barriers to adoption. Here’s what chatbot platforms actually cost, explained clearly.
MySQL Monitoring: SolarWinds vs New Relic vs Datadog
We installed three database monitoring platforms on a clean system running MySQL to see how they handle database monitoring from scratch. We examined: Ease of setup, onboarding experience, agent resource consumption, accuracy in metric measurement and effectiveness of their alerting systems’ notifications when issues arise under real-world database workloads.
Top 25 Generative AI Finance Use Cases in 2026
I spent a decade consulting for financial services firms. Every AI implementation I saw followed the same pattern: pilot projects that looked impressive in presentations but stalled in production. That’s changing. Banks are now deploying generative AI at scale, and the results are measurable. Here’s what’s actually working, based on implementations you can verify.
Code Execution with MCP: A New Approach to AI Agent Efficiency
Anthropic introduced a method in which AI agents interact with Model Context Protocol (MCP) servers by writing executable code rather than making direct calls to tools. The agent treats tools as files on a computer, finds what it needs, and uses them directly with code, so intermediate data doesn’t have to pass through the model’s memory.
The Future of Large Language Models in 2026
ChatGPT hit 900 million weekly active users in January 2026, processing 2.5 billion prompts daily. LLMs now handle medical imaging analysis, weather forecasting, and code generation. But bias, inaccuracy, and hallucinations still limit adoption.
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