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
DAST Software Pricing Comparison: Burp Suite, Nessus & More
With over 20 DAST tools on the market, selecting the most suitable one can be challenging given their varying features and pricing options. We’ve compiled publicly available information on vendors’ pricing strategies, making it easy to get an overview and estimate the likely costs you may face.
Text-to-SQL: Comparison of LLM Accuracy
I have relied on SQL for data analysis for 18 years, beginning in my days as a consultant. Translating natural-language questions into SQL makes data more accessible, allowing anyone, even those without technical skills, to work directly with databases.
The Future of Large Language Models
ChatGPT reached 900 million weekly active users and processed approximately 2.5 billion prompts daily. See the future of large language models by delving into promising approaches, such as self-training, fact-checking, and sparse expertise that could address LLM limitations.
Top 20 Predictions from Experts on AI Job Loss
As a McKinsey consultant, I helped enterprises adopt new technology for a decade. My quick answers on AI job loss: AI job loss predictions Note: The size of the plots is correlated with the size of the job loss prediction. The percentages referenced in our analysis are derived from assumptions about overall job displacement.
Top 3 MFT Platforms With Distinctive AI Features
We analyzed AI MFT vendors based on customer reviews, protocol support, and documented AI capabilities. The focus is on features that technical teams can validate through product pages, documentation, and marketplace listings. Top 3 AI MFT tools feature comparison 1.
Top 10 Free PAM Solutions
There are no plug-and-play free PAM solutions for production environments. A few vendors offer free tools with PAM capabilities for low-scale deployments. Some, such as Devolutions Hub, also have paid business plans with approval workflows and reporting.
Compare Email Marketing Pricing: Top 20 Providers
Choosing an email marketing service that fits your budget is key to effective campaigns. Basic plans often include features such as email design tools, contact management, and limited automation, making them ideal for small businesses. Higher-tier plans offer advanced automation, segmentation, analytics, and integrations, making them suitable for larger enterprises.
Top 20 Active Directory Management Tools
Although many systems have moved to the cloud, Active Directory (AD) remains the central identity platform for managing users, devices, and access across most organizations.
Top 8 Open Source RBAC Tools in 2026
Based on GitHub activity, update frequency, and deployment model, I listed the top 8 open-source RBAC tools that help organizations restrict system access by granting users permissions and privileges. This list covers 8 open-source RBAC tools across three categories: general-purpose authorization libraries and identity platforms with RBAC support, and Kubernetes-specific permission tools.
Network Monitoring Service Pricing Comparison in 2026
Network monitoring service pricing is shaped by several factors: how many devices you’re monitoring, what protocols and integrations you need, and whether you’re deploying on-premises or in the cloud. The five services below use different billing units, sensors, hosts, resources, or technicians, which makes direct price comparisons harder than they look.
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