Cem Dilmegani
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
- Cem Dilmegani, Post-AI Banking: Millions of jobs at risk as banks automate their core functions. International Banker.
- Cem Dilmegani, Bengi Korkmaz, and Martin Lundqvist (December 1, 2014).Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Media, conference & other event presentations
- Answers to Korea24's questions on job loss due to AI, Korea24
- Real Estate and Technology, presented by Hofstra University’s Wilbur F. Breslin Center for Real Estate Studies and the Frank G. Zarb School of Business in 2023 and 2024.
- Radar AI session (June 22, 2023): "Increasing Data Science Impact with ChatGPT".
- Generative AI Atlanta meetup: Generative AI for Enterprise Technology.
Sources
- Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
- Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
- Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
- Science, Research and Innovation Performance of the EU, European Commission.
- EU’s €200 billion AI investment pushes cash into data centers, but chip market remains a challenge, IT Brew.
- Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
- We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.
Latest Articles from Cem
AI Hallucination: Compare top LLMs like GPT-5.2
AI models can generate answers that seem plausible but are incorrect or misleading, known as AI hallucinations. 77% of businesses concerned about AI hallucinations. We benchmarked 37 different LLMs with 60 questions to measure their hallucination rates: AI hallucination benchmark results Our benchmark revealed that xAI Grok 4 has the lowest hallucination rate (i.e.
Redwood-SAP Partnership: Clean Core Support for SAP Clients
With over 30 years of experience in automation, Redwood has worked alongside SAP to support a wide range of enterprise automation initiatives. This partnership has supported numerous enterprise automation projects. See the services that SAP users can access through Redwood, the history of this partnership, and the dynamics of their collaboration.
Wu Dao 3.0: 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.
Chatbot vs ChatGPT: Differences & Features
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.
RAG Frameworks: LangChain vs LangGraph vs LlamaIndex vs Haystack vs DSPy
We benchmarked 5 RAG frameworks: LangChain, LangGraph, LlamaIndex, Haystack, and DSPy, by building the same agentic RAG workflow with standardized components: identical models (GPT-4.1-mini), embeddings (BGE-small), retriever (Qdrant), and tools (Tavily web search). This isolates each framework’s true overhead and token efficiency.
Help Desk Case Studies
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.
Demilitarized Zone (DMZ): Examples & Architecture
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.
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.
Best Database Performance Monitoring Tools: Top 5 Platforms Compared
Database issues cause application failures. A memory spike crashes your server. A slow query times out user requests. We analyzed six database monitoring platforms and benchmarked three of them extensively on MySQL and MongoDB. The results show significant differences in setup complexity, query analysis capabilities, and metric accuracy.
Low/No-Code AI Agent Builders: n8n, AgentKit, make, Zapier
Low- and no-code AI agent builders let users create automated, AI-driven workflows without writing complex code, making agent development faster and accessible to non-technical teams.
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.