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
Top 10 Sensitive Data Discovery & Classification Tools ['26]
Based on our analysis and user experiences shared in review platforms, see the top 10 sensitive data discovery software that help security teams locate sensitive data stored across databases, applications, and user endpoints: Features of sensitive data discovery software All software support: Read more: Data governance tools, data-centric security software.
Top 10 Cloud Data Security Software in 2026
Cloud data security solutions protect your cloud data against data breaches, data loss, and modern threats, including ransomware. Based on their data security features, coverage, and market presence, I reviewed the top 10 vendors, including Sentra, Wiz, and Acronis Cyber Protect Cloud.
Sentra DSPM: 5 Alternatives, Features & Pricing in 2026
Sentra is a DSPM platform with data access governance (DAG) and data detection and response (DDR) capabilities that can help you track sensitive data across the cloud.
Top 5 AI Gateways for OpenAI: OpenRouter Alternatives
The increasing number of LLM providers complicates API management. AI gateways simplify this by serving as a unified access point, allowing developers to interact with multiple providers through a single API.
Compare Remote Control Software: NinjaOne & Acronis
We tested the top 3 remote control software (also known as remote access software) to evaluate the general UI and remote control experience, their remote control quality, protocols, and unique capabilities: Strengths and weaknesses based on our observations NinjaOne Strengths Shortcomings Acronis Strengths Shortcomings ManageEngine Strengths Shortcomings NinjaOne remote control deployment and session experience NinjaOne
AI Code Review Tools Benchmark in 2026
With the increased use of AI coding tools, codebases have become more prone to vulnerabilities, which increased the need for effective code reviews.
CRM AI Systems: Top 5 Vendors and Key Features in 2026
AI-powered CRM systems leverage machine learning, natural language processing (NLP), and data analytics to enhance the capabilities of traditional CRM. The adoption of AI in CRM is driven by the need for more personalized customer experiences and efficient data management.
Top 10 Log Analysis Software in 2026
Log analysis software collects data from servers, network devices, and applications, then parses it so system administrators can troubleshoot problems and monitor performance. Here are the top 10 log analysis tools based on my testing and user reviews: Choosing the Right Tool Category Market presence and feature comparison See vendor selection criteria.
Computer Use Agents: Architectures, Trade-offs, and Real-World Behavior
Computer use agents promise to operate real desktops and web apps, but their designs, limits, and trade-offs are often unclear. We examine leading systems by breaking down how they work, how they learn, and how their architectures differ, using clear comparisons and benchmarks.
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.
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