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
Analysis of Top 5 Open Source Configuration Tools in 2026
Misconfiguration of security management systems cause 99% of firewall security breaches. Therefore, using advanced firewall configuration software is essential to manage configurations and strengthen defenses.
Conversational AI for Sales: Applications & Real-Life Examples
By combining natural language processing, machine learning, and integration with customer data systems, conversational AI tools enable sales teams to handle routine tasks, qualify leads, and engage in personalized conversations with prospects and customers.
AI Chatbot Pricing: Chatbot Cost Comparison in 2026
Chatbots decrease customer support expenses while maintaining 24/7 availability, thus increasing revenues and customer saftisfaction. And with the rise of generative AI chatbots, like ChatGPT, more businesses could adopt chatbots. However, ambiguous chatbot pricing models can be a barrier to adoption.
10+ Data Governance Case Studies: Real-Life Examples
Our research on data governance tools explores the top vendors in data security, data intelligence, and master data management (MDM), focusing on their key capabilities such as big data processing.
RPA Web Scraping: Tips and Techniques in 2026
Web scraping is the act of collecting data from websites to understand what information the web pages contain. The extracted data is used in multiple applications such as competitor research, public relations, trading, etc.
Best 17 AgentOps Tools: AgentNeo, Langfuse & more ['26]
We will introduce leading AgentOps tools, outline the challenges of operating agents and explain how an AgentOps automation pipeline can address them through observability, metrics, issue detection. How to think about AgentOps One of the hard parts of operating reliable agentic systems is making sure system behavior is observable and traceable at every step.
Top 7 Pentesting Tools in 2026
AIMultiple vetted the top pentesting tools in the market based on their features, price, focus, and popularity. See the links below for our reasoning. When choosing a pentesting tool, users often consider the tools’: Pentesting tools comparison *Ratings are based on B2B review platforms such as G2 and Capterra.
Top 5 Vulnerability Scanning Tools in 2026
Considering the variety of vulnerability scanning and management tools, businesses may face challenges in choosing the most suitable solution. When choosing a vulnerability scanning tool, users often consider the tools’: Considering these factors, we evaluated the leading vulnerability scanning tools and highlighted their key features.
Vulnerability Testing: Use Cases, Importance & Process
With cyber threats becoming increasingly common, it’s crucial for organizations to proactively enhance their defenses. One of the key strategies in achieving security is through vulnerability testing.
10 AI Procurement Use Cases & Case Studies in 2026
As the benefits of artificial intelligence (AI) are appreciated by a greater audience, the number of AI use cases in different industries expand daily. AI in the procurement sector is no different.
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