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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 21

LLM Pricing: Top 15+ Providers Compared in 2026

LLM API pricing can be complex and depends on your preferred usage. We analyzed 15+ LLMs and their pricing and performance: Hover over model names to view their benchmark results, real-world latency, and pricing, to assess each model’s efficiency and cost-effectiveness. Ranking: Models are ranked by their average position across all benchmarks.

DataDec 19

IT Documentation Benchmark & Review in 2026

We evaluated the leading IT documentation platforms to assess their performance, features, and usability. Our benchmark measured document creation workflows, editor capabilities, search accuracy, and relationship management across real-world scenarios, including error code searches, PDF content indexing, and command syntax preservation. Benchmark findings *NinjaOne auto-saves drafts but doesn’t display them separately.

AIDec 19

OCR Benchmark: Text Extraction / Capture Accuracy [2026]

OCR accuracy is critical for many document processing tasks and SOTA multi-modal LLMs are now offering an alternative to OCR.

Agentic AIDec 19

AI Deep Research: Claude vs ChatGPT vs Grok in 2026

AI deep research is a feature in some LLMs that offers users a wider range of search results than AI search engines.

Agentic AIDec 18

Figma MCP Server Tested: Figma to Code in 2026

Figma has announced the beta release of its Dev Mode MCP server, which connects design files directly to AI coding tools like Cursor, Windsurf, and Claude Code. The server uses Model Context Protocol (MCP) to provide design context to Large Language Models, enabling code generation that reflects both design specifications and existing codebase patterns.

AIDec 17

Large Language Model Training in 2026

While using existing LLMs in enterprise workflows is table stakes, leading enterprises are building their custom models. However, building custom models can cost millions and require investing in an internal AI team.

AIDec 17

LLM Fine-Tuning Guide for Enterprises in 2026

Follow the links for the specific solutions to your LLM output challenges. If your LLM: The widespread adoption of large language models (LLMs) has improved our ability to process human language. However, their generic training often results in suboptimal performance for specific tasks.

DataDec 17

Compare 45+ MLOps Tools in 2026

Machine Learning Operations (MLOps) brings DevOps principles into machine learning to simplify workflows from model development to deployment and maintenance.

AIDec 15

AI Ethics Dilemmas with Real Life Examples in 2026

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 marred by data or AI ethics scandals that damage its reputation.

AIDec 15

AI Hallucination: Compare top LLMs like GPT-5.2 in 2026

AI models can generate answers that seem plausible but are incorrect or misleading, known as AI hallucinations. 77% of businesses concerned about AI hallucinations.

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