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Cem Dilmegani

Cem Dilmegani

Principal Analyst
688 Articles
Stay up-to-date on B2B Tech
Cem has been the principal analyst at AIMultiple for almost a decade.

Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, Washington Post, global firms like HPE, NGOs like World Economic Forum and supranational organizations like European Commission. [1], [2], [3], [4], [5]

Professional experience & achievements

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider. [6], [7]

Research interests

Cem's work focuses on how enterprises can leverage new technologies in AI, agentic AI, cybersecurity (including network security, application security) and data including web data.

Cem's hands-on enterprise software experience contributes to his work. Other AIMultiple industry analysts and the tech team support Cem in designing, running and evaluating benchmarks.

Education

He graduated as a computer engineer from Bogazici University in 2007. During his engineering degree, he studied machine learning at a time when it was commonly called "data mining" and most neural networks had a few hidden layers.

He holds an MBA degree from Columbia Business School in 2012.

Cem is fluent in English and Turkish. He is at an advanced level in German and beginner level in French.

External publications

Media, conference & other event presentations

Sources

  1. Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
  2. Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
  3. Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
  4. Science, Research and Innovation Performance of the EU, European Commission.
  5. EU’s €200 billion AI investment pushes cash into data centers, but chip market remains a challenge, IT Brew.
  6. Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
  7. We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

Latest Articles from Cem

CybersecurityJan 9

Top 10 Endpoint Security Software in 2026

Endpoint security software secures devices such as computers, mobile phones, and servers against cyber threats. Organizations use these tools to prevent malware infections, block unauthorized access, and protect sensitive data across their networks. We analyzed the top endpoint management and DLP software across approximately 20 features.

CybersecurityJan 9

Top 5 Endpoint Management Software with Pricing in 2026

The most common case of cybercrime is unauthorized access to unmanaged devices. As hybrid work models and bring-your-own-device (BYOD) policies become standard practice, endpoint management software has evolved from a convenience into a necessity.

Agentic AIJan 9

AI Browser Security Risks: ChatGPT Atlas and Comet ['26]

Agentic AI browsers now handle your banking, emails, and private documents. A single malicious link can turn these assistants against you. Recent discoveries in Perplexity’s Comet browser reveal how attackers exploit prompt injection to steal credentials, exfiltrate data, and hijack authenticated sessions.

AIJan 9

Compare Top 7 Generative AI Services & Vendors in 2026

Since OpenAI launched ChatGPT, generative AI technology has rapidly expanded across industries. This spread led businesses to utilize various services to build and implement generative AI tools effectively. Here, we explore seven types of generative AI services that help businesses gain a competitive edge: Table 1.

Agentic AIJan 9

Top 30+ Agentic AI Companies in 2026

Though AI agents are being hyped and some companies rebrand their chatbots as agentic tools, there are still few agents in production. Previously, we benchmarked some of these capable AI agents over several real-world tasks.

Enterprise SoftwareJan 8

Top 10 Log Analysis Software for Data Security in 2026

Log analysis software collects data from servers, network devices, and applications, then parses it for system administrators to troubleshoot problems and monitor performance. Here are the top 10 log analysis software based on my & other users’ experiences and vendor features.

AIJan 8

The LLM Evaluation Landscape with Frameworks in 2026

Evaluating LLMs requires tools that assess multi-turn reasoning, production performance, and tool usage. We spent 2 days reviewing popular LLM evaluation frameworks that provide structured metrics, logs, and traces to identify how and when a model deviates from expected behavior.

Enterprise SoftwareJan 8

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.

AIJan 8

AI Center of Excellence (AI CoEs): Real-Life Examples ['26]

Across industries, organizations use AI Center of Excellence (AI CoEs) to solve practical problems such as scaling AI initiatives, enforcing governance, reducing duplication, and connecting AI work to measurable business outcomes. Explore what an AI Center of Excellence is, why organizations set one up, and how it operates in practice.

DataJan 8

7 Integration Testing Best Practices in 2026

Integration testing is a crucial stage in the software testing process. With the growing complexity of software systems, effective integration testing is increasingly critical for identifying issues before they cause significant problems. There are several best practices regarding integration testing, and it can be challenging to know where to begin.