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
Prices of Top 5 IT Service Management (ITSM) Software
IT Service Management (ITSM) tools that support incident, problem, change, and knowledge base management offer diverse pricing models. See IT service management pricing details of the top 5 providers and the feature guide for small businesses and enterprises. ITSM pricing comparison Note: Pricing information is obtained from vendor websites.
MFT Pricing: Comparison of Top 3 MFT Vendors' Pricing
Managed File Transfer (MFT) solutions vary widely in terms of pricing, depending on the features and deployment options you choose. Understanding MFT Pricing Models Before comparing specific vendors, it’s worth understanding the three main pricing structures you’ll encounter in the MFT market.
10+ Large Language Model Examples & Benchmark
We have used open-source benchmarks to compare top proprietary and open-source large language model examples. You can choose your use case to find the right model. Comparison of the most popular large language models We have developed a model scoring system based on three key metrics: user preference, coding, and reliability.
Top 15 Logistics AI Use Cases & Examples
Persistent inefficiencies, rising operational costs, and ongoing supply chain disruptions continue to challenge logistics functions globally. These pressures are straining traditional systems, reducing service reliability, and limiting organizations’ ability to scale. In response, companies are increasingly turning to artificial intelligence to enhance end-to-end visibility, strengthen resilience, and optimize core functions.
Cloud LLM vs Local LLMs: Examples & Benefits
Cloud LLMs, powered by advanced models like GPT-5.2, Gemini 3 Pro, and Claude Opus 4.6, offer scalability and accessibility. Conversely, Local LLMs, driven by open-source models such as Qwen 3, Llama 4, and DeepSeek R1, ensure stronger privacy and customization.
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.
Top 5 Vulnerability Scanning Tools
Vulnerability scanning tools identify security weaknesses in networks, applications, and systems. Organizations evaluate these tools based on scanning methods (DAST/IAST/SCA), SIEM integration, deployment options, and pricing. Our analysis covers five vulnerability scanning solutions based on technical capabilities and market presence.
Top 25 Chatbot Case Studies & Success Stories
The global chatbot market is estimated at approximately $15.6 billion in 2026 and is projected to reach $46.6 billion by 2029. Most deployments fail. The bots that last are built for a single specific task and perform it better, faster, or more cost-effectively than a human agent can at scale.
OpenClaw Ecosystem: 9 AI Agent-Driven Platforms
AI agents are no longer just tools that answer questions. In the OpenClaw ecosystem, they live in cities, earn money, trade, socialize, form beliefs, and sometimes take risks. We map that ecosystem, from simulated worlds and marketplaces to social networks and infrastructure that lets agents persist on their own.
Top 12 IT Service Management Tools
We evaluated the top 10 IT service management tools based on user experience, performance, and feature set. Explore our findings to see how these leading solutions differ in areas including AI features, communication integrations, DevOps, monitoring & security connections, and deployment options.
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