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
Network Monitoring Service Pricing Comparison in 2026
Network monitoring service pricing is shaped by several factors. Providers typically offer different pricing models such as per-device, per-host, or per-technician billing.
Top 7 Open Source RMM Software: Pros, Cons & Benefits
IT teams and managed service providers (MSPs) require software solutions that allow them to use remote monitoring and management (RMM) tools. While some require enterprise-scale closed-source RMM software, others require free and open-source options.
Top 13 Use Cases of Generative AI in Education in 2026
Generative AI is an advanced technology that can rapidly produce lifelike images, text, and animations. In our research, we examined its use across various industries, including healthcare and banking. While other technologies, such as conversational AI and robotic process automation (RPA), are being implemented in education, generative AI is not being properly implemented in education.
Top 10 Alternatives to AutoSys Compared in 2026
AutoSys users are increasingly seeking alternatives due to its reliance on command-line interfaces, rising costs, and uncertainty under Broadcom. Based on our research, we chose the top 10 alternatives to AutoSys. We explained our selection rationale in the vendor’s sections and comparison tables. Use the links below to navigate directly.
Top 7 Alternatives to Automic Automation in 2026
Automic Automation is a prominent workload automation tool in the WLA market. However, given businesses’ unique and often niche requirements, it is essential to explore several alternatives.
How to Use ChatGPT for Business: Top 40 Applications ['26]
With numerous potential use cases for ChatGPT, businesses may struggle to identify the most valuable applications of the technology and face challenges in meeting their unique needs. To get the most from ChatGPT, businesses need the tool fine-tuned to meet their specific needs and objectives.
Top 11 Open Source AI Platforms & Libraries in 2026
Deploying your own AI model or, in some cases, fine-tuning pre-existing models comes with several challenges: Open-source platforms that offer unified APIs help address these challenges by enabling multi-cloud deployment, optimizing GPU resource management.
Healthcare Data Encryption: Compliance & Real-Life Use Cases
Healthcare generates 30% of the world’s data, making it a prime target for cyberattacks. Over 40 million U.S. patient records are compromised yearly, often due to weak security measures. Data encryption has become a critical component of healthcare data security to mitigate the risk of data breaches.
Data Encryption: Types, Importance & FAQ in 2026
Digital information is constantly being shared and stored on the cloud and connected services. According to IBM, the average cost for a data breach involving 50 million to 65 million records is more than $400 million.
Top 7 Computer Vision Challenges & Solutions in 2026
Computer vision (CV) technology is revolutionizing many industries, including healthcare, retail, automotive, etc. As more companies invest in computer vision solutions, the global market is expected to multiply 9 times by 2026 to $2.4 billion.
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.