Cem Dilmegani
Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, and Washington Post, global firms like Deloitte and 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 enterprise AI and software.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
- Hosted on American Variety Radio, answering Court Lewis' questions on AGI on April 25th, 2026.
- Answered Korea24's questions on job loss due to AI on November 5th, 2025. Recording available on: 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
Top 17 AgentOps Tools: AgentNeo, Langfuse & more
Reports put agent observability well behind agent deployment: roughly 85% of GenAI deployments run without observability, while the tooling market grows at 30% a year, and 89% of CIOs now rank agent-based AI a top priority. AgentOps refers to tools and platforms for deploying, monitoring, and managing AI agents in production. See leading AgentOps tools,…
RELC-Bench: Retrieval on Long Context Benchmark
RELC-Bench (RELC-Bench: Retrieval on Long Context Benchmark) aims to measure a model’s ability to find and extract a specific numeric value from one or more documents within its context. It tests whether the model can remember and retrieve a specific fact it just saw in the input. claude-fable-5 scores 97.0% on the 100 direct-recall items,…
MCP Benchmark: Top MCP Servers for Web Access
We benchmarked 8 MCP servers across web search and extraction, as well as browser automation tasks, by running 4 different tasks 5 times on all suitable MCPs. We also performed a load test involving 250 concurrent AI agents. *Web search & extraction tasks are run with Bright Data’s default MCP server, browser automation tasks are…
HALC-Bench: LLM Hallucination on Long-Context Retrieval Benchmark
HALC-Bench (LLM Hallucination on Long-Context Retrieval Benchmark) measures a large language model’s resistance to fabricating evidence for a metric that does not exist in the target document by using 3 haystacks placed at the beginning, middle, and end of the model’s context window, with 204 questions. claude-fable-5 answered all 204 traps correctly at every haystack…
Best AI Code Editor: Cursor vs Windsurf vs Replit
Making an app without coding skills is highly trending right now. But can these tools successfully build and deploy an app? We benchmarked 6 AI code editors across 10 real-world web development challenges. Each task required implementations such as backend, frontend, authentication, state management. We evaluated backend correctness, frontend behavior, and combined performance, and analyzed…
Speech-to-Text Benchmark: Deepgram vs. Whisper
We benchmarked the leading speech-to-text (STT) providers, focusing specifically on healthcare applications. Our benchmark used real-world examples to assess transcription accuracy in medical contexts, where precision is crucial. Based on both word error rate (WER) and character error rate (CER) results, GPT-4o-transcribe demonstrates the highest transcription accuracy among all evaluated speech-to-text systems. Deepgram Nova-v3 and…
Quantum Computing Stats: Forecasts & Facts & Beyond
Quantum computing is an emerging field that has the potential to fundamentally change computing and build smarter machines. To understand the potential of quantum computing (QC), feel free to read our research on QC and its applications. We have compiled predictions & facts about the field: You may also like these articles if you want…
Quantum Computing Companies
Quantum computing, which has wide-ranging applications in optimization, research, and cryptography, is driven by these organizations: Quantum hardware is an emerging computing technology that relies on complex hardware. As in the early days of personal computing, there are companies specializing in hardware, software, and end-to-end solutions. In the early days of computing, Apple built end-to-end…
Quantum Artificial Intelligence
Quantum computing and artificial intelligence are both transformational technologies, and artificial intelligence is likely to require quantum computing to achieve significant progress. Although artificial intelligence produces functional applications on classical computers, it is limited by their computational capabilities. Quantum computing can provide a computational boost to artificial intelligence, enabling it to tackle more complex problems…
Quantum Annealing: Practical Quantum Computing
Quantum annealing is a promising quantum technology for companies with urgent optimization problems that traditional computers cannot solve quickly. It can be used to solve optimization problems more effectively than traditional computers. However, it is still mostly used in academia, and more R&D is required to build commercial quantum annealers. There are different approaches to…
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