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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

AIDec 12

Wu Dao 3.0 in 2026: China's Version of GPT-5

When the US cut off China’s access to advanced chips, the Beijing Academy of Artificial Intelligence faced a choice: complain about restrictions or work around them. They picked the second option. Wu Dao 3.0, launched in July 2023, throws out the playbook. No massive trillion-parameter models competing for headlines.

AIDec 12

Chatbot vs ChatGPT: Differences & Features in 2026

When people search for “chatbot vs ChatGPT,” they’re usually trying to figure out if ChatGPT is just another chatbot or something fundamentally different. The confusion makes sense. ChatGPT is technically a chatbot, but calling it one feels like calling a smartphone just a phone. Both descriptions are accurate, yet they miss important distinctions.

Enterprise SoftwareDec 12

Help Desk Case Studies in 2026

Help desk software tracks customer questions and feedback to improve customer service. Explore the real-life case studies illustrating how help desk software has been beneficial to businesses: Help desk case studies Eurail Eurail is a rail pass provider that allows travelers to use trains across 33 European countries.

CybersecurityDec 12

Demilitarized Zone (DMZ): Examples & Architecture in 2026

A Demilitarized Zone (DMZ) network is a subnetwork containing an organization’s publicly accessible services. It serves as an exposed point to an untrusted network, often the Internet. DMZs are used across various environments, from home routers to enterprise networks, to isolate public-facing services and protect internal systems.

Agentic AIDec 11

Agents.md: A Machine-Readable Alternative to README

AI coding agents work better when they have clear instructions. Most projects include a README.md, but this file is written for people. It explains the project, shows how to get started, and helps new contributors. AGENTS.md, on the other hand, is a small, open, and predictable file.

AIDec 10

Text-to-Speech Software: Hume, ElevenLabs & Resemble

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 Cartasia) across seven core emotion categories to determine which could most accurately, consistently, and comprehensively recognize emotional tones.

DataDec 9

Roadmap to Web Scraping: Benchmark Results from 30M Requests

We crawled more than 30 million web pages using more than 50 products from 6 leading web data infrastructure companies. This massive undertaking enabled us to assess critical performance metrics, including success rates, latency, and stability at scale. Our goal was to determine which solutions truly handle the complexities of enterprise-level scraping.

AIDec 9

No-Code AI: Benefits, Industries & Key Differences in 2026

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.

Agentic AIDec 9

AI Agents: Operator vs Browser Use vs Project Mariner ['26]

AI agents are increasingly marketed as end-to-end digital workers, but real-world performance can vary widely depending on the task, tools, and execution environment. To understand what these systems can genuinely deliver today, we conducted hands-on benchmarking across practical business scenarios.

AIDec 9

RAG Evaluation Tools: Weights & Biases vs Ragas vs DeepEval vs TruLens

Failures in Retrieval Augmented Generation systems occur not only because of hallucinations but more critically because of retrieval poisoning. In such cases, the retriever returns documents that share substantial lexical overlap with the query but do not contain the necessary information.

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