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
Best 7 AI Test Agents for QA in 2026
We evaluated AI testing platforms embedded with AI agents; most were overhyped Selenium/Playwright with marketing. A few were capable of writing/maintaining test cases or visual testing, though even these tools still have notable limitations. From these, we selected 7 platforms and categorized them by their primary focus areas.
Compare 50+ AI Agent Tools in 2026
We’ve spent the past few months testing AI agents in real-world scenarios – not just reading marketing materials, but actually using these tools to see what works and what doesn’t. Despite the hype around “autonomous AI,” most tools today are co-pilots, not autopilots.
20+ AI Agent Builders: Microsoft Copilot Studio, Beam AI & Vertex AI Builder
After reviewing the documentation and spending several hours tinkering with these AI agent builders, we listed the best open-source frameworks and low-code/no-code platforms. To highlight AI agent builder use cases we provided a tutorial on building a product expert agent with CrewAI.
Top 6 Online Survey Participant Recruitment Tools in 2026
Companies conduct online surveys to understand market trends and their target audience. However, finding the right survey participants can be challenging. Survey participant recruitment tools help businesses to find appropriate participants.
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 by installing them from scratch, running identical workloads, and documenting every step of the setup and monitoring experience.
Agentic CLI Tools Compared: Claude Code vs Cline vs Aider
Agentic CLI tools are AI-powered command-line agents that go beyond simple autocomplete. They actively plan and execute multi-step tasks-managing files, running commands, and handling Git history directly within your terminal. We tested the leading tools in 20 real-world web development scenarios to see which one truly delivers a production-ready website.
Best No-Code Web Scrapers in 2026 (Free Trials + Pricing)
The landscape of no-code web scrapers has expanded, from free browser extensions to enterprise platforms offering APIs and compliance at scale. We evaluated 15 no-code and low-code web scrapers using 1,000+ verified customer reviews from B2B platforms.
Top 6 Log Analysis Software in 2026
When servers crash at 3 AM or applications start throwing errors, teams need to quickly understand what went wrong. Log analysis platforms help by collecting scattered log files from different systems and making them searchable in a single location.
Best 30+ Open Source Web Agents in 2026
We tested proprietary web agents, remote browsers, and benchmarked 8 MCP servers across web search and browser automation tasks. Below are 30+ open-source web agents that enable AI to navigate, interact with, and extract data from the web, including browsing, authentication, and crawling. Open-Source Web Agents: GitHub Stars See benchmark sources.
Building AI Agents with Anthropic's 6 Composable Patterns
We spent 3 days experimenting workflows and agent pipelines in n8n according to Anthropic’s and OpenAI’s guides on building effective AI agents. We are going to distill down everything we have learned to give you a guide to build functional AI agents in your LLM projects.
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