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
Optimizing Agentic Coding: How to Use Claude Code in 2026?
AI coding tools have become indispensable for many development tasks. In our tests, popular AI coding tools like Cursor have been responsible for generating over 70% of the code required for tasks.
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.
AI Presentation Maker: Gamma vs Google Slides
We evaluated the top 5 AI presentation makers across 9 dimensions with 4 different prompts to assess their context and prompt understanding, visual AI integration, and voice and brand style adaptation capabilities: AI presentation maker benchmark results See the methodology and evaluation criteria to understand how we determined these results.
Generative AI Ethics: How to Manage Them
Generative AI raises important concerns about how knowledge is shared and trusted. Britannica, for instance, filed a lawsuit against Perplexity, alleging that the company illegally and knowingly copied Britannica’s human-verified content and misused its trademarks without permission. Explore what generative AI ethics concerns are and best practices for managing them. 1.
LLM Pricing: Top 15+ Providers Compared
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.
40 IoT Applications & Use Cases
Worldwide annual revenue on IoT in 2033 is expected to be $934B. IoT enables a myriad of different business applications. Knowing those IoT examples and use cases can help businesses integrate IoT technologies into their future investment decisions.
6 Network Security Use Cases in 2026
Network security statistics reveal that cyber-attacks affected 350+ million individuals in the U.S. In this article, we explore network security use cases and real-world examples , from detecting insider threats to managing privileged access. For more on network security: 1.
Text-to-Speech Software: Hume & ElevenLabs in 2026
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 Cartesia) across seven core emotion categories to determine which could most accurately, consistently, and comprehensively recognize emotional tones.
IoT Implementation: A Practical Guide Based on Real Deployments in 2026
IoT projects fail more often than they succeed. Companies buy sensors, collect data, then realize they don’t know what to do with it. Or they build a proof-of-concept that works great in the lab but can’t scale to production.
Graph Analytics in 2026: Top 6 Use Cases & Tools
Most analytics focuses on numbers, revenue trends, customer counts, and conversion rates. Graph analytics takes a different approach: it examines how things connect to each other. Think about how Facebook knows which friends to suggest, or how investigators traced the Panama Papers to reveal hidden offshore accounts.
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