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 17 AgentOps Tools: AgentNeo, Langfuse & more
AgentOps refers to tools and platforms for deploying, monitoring, and managing AI agents in production.
AI Video Pricing: Compare Synthesia & Invideo AI
AI video pricing can differ significantly across platforms, influenced by factors such as output quality, customization options, and features. As more businesses and creators turn to AI for efficient video production, understanding these pricing models becomes essential.
Top 5 MOVEit Alternatives in 2026
We reviewed the leading alternatives to MOVEit in the secure file transfer market, looking at protocol support, verified product capabilities, and user reviews. MOVEit alternatives’ comparison * Ratings are based on Capterra, Gartner, and G2. The vendors are listed according to their reviews.
Top 10 SFTP Server Software in 2026
Selecting the right SFTP server software is essential for maintaining secure and efficient file transfers within an organization. We conducted a managed file transfer (MFT) benchmark across various features and scenarios to identify the leading SFTP server software providers.
Top 7 GoAnywhere Alternatives in 2026
GoAnywhere is a secure file transfer platform used by enterprises to exchange data securely. Whether you’re in search of more advanced features, diverse pricing options, or superior customer service, our curated list of alternatives offers the insights you need to make a well-informed choice.
Types of Virtual Reality & Use Cases in 2026
The virtual reality (VR) and AR integrated generative AI and converged into spatial computing platforms. The COVID-19 pandemic had a notable impact on VR usage, with 71% of users reporting they spent more time using VR during that period. Businesses have also accelerated their adoption of VR technologies.
Axway MFT: A Comprehensive Guide in 2026
Managed File Transfer (MFT) solutions handle secure data movement between systems. Traditional protocols such as FTP and HTTP lack the security and compliance features that modern enterprises require. Axway is part of 74Software, formed through the combination of Axway and Sopra Banking Software, serving over 11,000 companies globally, including 1,500+ financial service customers.
AI Deep Research: Claude vs ChatGPT vs Grok
AI deep research is a feature in some LLMs that offers users a wider range of search results than AI search engines.
Agentic LLM Benchmark: Top 13 LLMs Compared
We benchmarked 13 LLMs across 10 software development tasks by using an agentic CLI tool. We executed ~300 automated validation steps per model to measure performance across both API and UI layers. Agentic LLM benchmark results Success rate comparison Claude 4.5 Sonnet and GPT-5.
AI IPS: 6 Real-life Use Cases & Leading Tools
AI intrusion prevention systems (IPS) use machine learning algorithms and behavioral analytics to detect and prevent several cyber threats. AI can strengthen traditional IPS capabilities by enabling faster, more adaptable, and more cost-effective detection, especially for organizations with limited resources.
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