
Cem Dilmegani
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, automation, cybersecurity (including network security, application security), data collection including web data collection and process intelligence.
Cem's hands-on enterprise software experience contributes to his work. Other AIMultiple industry analysts and 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 (September 28, 2017). 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
Conference & other event presentations
- 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 (March 10, 2023): 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 Reasoning Benchmark: MathR-Eval
We designed a new benchmark, Mathematical Reasoning Eval: MathR-Eval, to test the LLMs’ reasoning abilities, with 100 logical mathematics questions. Benchmark results Results show that OpenAI’s o1 and o3-mini are the best performing LLMs in our benchmark.
AI Deep Research: Claude vs ChatGPT vs Grok
AI deep research is a feature on some LLMs that offers users a wider range of searches than AI search engines. We tested the following tools with two tasks and evaluated them across 5 dimensions: Results We evaluated them in terms of accuracy and the number of sources.
Top Image Recognition Tools Compared
We evaluated the real-world performance of top cloud vision tools for object detection tasks by benchmarking their default API configurations across 5 classes. This included contrasting performances, analyzing features, and comparing service offerings in relation to pricing. Benchmark Results Performance overview at IoU=0.
Top 7 Red Teaming Tools
Red teaming is a critical component of modern cybersecurity strategies, simulating real-world attacks to expose vulnerabilities in systems, networks, and human processes. Choosing the right tool can make the difference between a surface-level test and a deep, realistic security assessment.
Future of Cloud Computing: 10 Powerful Trends
The future importance of cloud computing from shaping various industries to infrastructure investments has been analyzed by many studies. However, the future is already here. Understanding the emergence of DeepSeek and the rise of trends like multi-cloud has become significant.
Vibe coding: Great for MVP But Not Ready for Production
Vibe coding is a new term that has entered our lives with AI coding tools like Cursor. It means coding by only prompting. We made several benchmarks to test the vibe coding tools, and with our experience, we decided to prepare this detailed guide.
The Best 10 AI Code Review Tools: Pricing and Features
AI code review tools are now more crucial than ever, with the rise of AI coding tools. Users often lose control over their codebase when they are “vibe coding“, but it can lead to significant vulnerabilities.
AI Hallucination: Comparison of the Popular LLMs
AI models sometimes generate data that seems plausible but is incorrect or misleading; known as AI hallucinations. According to Deloitte, 77% of businesses who joined the study are concerned about AI hallucinations.
8 AI Code Models Benchmarked: LMC-Eval
More than 37% of tasks performed on AI models are about computer programming and maths.
Top 10+ Version Control Tools
At AIMultiple, we use version control tools every day to manage the code for over 1,000 web pages across multiple projects. Based on our experience, we picked the top version control tools, including open-source and proprietary software.
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