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 enterprise AI and software.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
- Hosted on American Variety Radio, answering Court Lewis' questions on AGI on April 25th, 2026.
- Answered Korea24's questions on job loss due to AI on November 5th, 2025. Recording available on: 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 Image Recognition Tools Compared
We benchmarked the default API configurations of Amazon Rekognition, Google Cloud Vision, and Microsoft Azure AI Vision on 100 images across 5 object classes, and compared their pricing and feature coverage. Image recognition tools benchmark results Performance overview at IoU=0.5 Performance metrics for three image recognition platforms were evaluated at an Intersection over Union (IoU)…
Backup software benchmark: Acronis vs NinjaOne vs Comet vs MSP360
We benchmarked Acronis Cyber Protect Cloud Backup, Comet Backup, MSP360 Managed Backup, and NinjaOne Backup on identical AWS infrastructure. Each vendor ran a file-mode backup of the same 625,946-file / 50 GB workload and a full image backup of the system disk, then restored the 15 GB medium subdirectory. Backup software benchmark results Here are…
Top No-Code ML Platforms: ChatGPT Alternatives
We benchmarked 3 no-code machine learning platforms across key metrics: data processing (handling missing values, outliers), model setup and ease of use, accuracy metrics output, availability of visualizations, and any major limitations or notes observed during testing. No-code machine learning tools benchmark Note: Scores represent average performance across kNN and Logistic Regression where applicable. Results…
Top 10 AI Infrastructure Companies & Applications
Many organizations invest heavily in AI, yet most projects fail to scale. 10-20% of AI proofs of concept progress to full deployment.21 A key reason is that existing systems are not equipped to support the demands of large datasets, real-time processing, or complex machine learning models. As AI becomes more central to business strategy, infrastructure…
Top 10 Microsoft Purview Alternatives
Though Microsoft Purview is a popular DLP software, it can be hard to use and provides limited policy customization options. We analyzed the top 10 DLP products across five dimensions to identify the top Microsoft Purview alternatives. See their features, strengths, and weaknesses: Comparison of the top 10 alternatives Features Software productUSB control & encryptionData…
Cloud GPU Pricing, Performance & Provider Comparison
Cloud GPU list prices for the same model can differ several times over from one provider to another. We curated the lowest rate, provider, market range, and median for 40+ GPU configurations across all three pricing tiers, plus a throughput-per-dollar benchmark on 10 models. Cloud GPU price per throughput See the most cost-effective GPU for…
Synthetic Users Explained: Top 7 AI User Research Tools
Traditional user research takes weeks: recruiting participants, scheduling sessions, and manually coding transcripts. Synthetic user platforms compress that timeline to hours by generating AI-driven personas you can interview, survey, and test against without the logistics. After evaluating 10+ AI research platforms and reviewing independent validation studies, we found that the most practical use case is…
Top 15 Training Data Platforms
A model is as good as the data it learns from. Supervised models need accurate, well-labeled examples to make correct predictions. Training data platforms cover the steps between raw data and a usable dataset: sourcing, labeling, and quality checks. See the top training data platforms, split by data marketplaces and data labeling tools, and mapped…
Top 10 PAM Solutions with Free Alternatives
We spent three days testing and reviewing popular Privileged Access Management (PAM) solutions. We used the free trials and admin consoles of BeyondTrust, Keeper PAM, and ManageEngine PAM360. For solutions that required registration, we relied on official product documentation and verified user experiences to assess their capabilities. When selecting the best PAM solutions, we considered…
Top 11 Multi-Factor Authentication (MFA) Solutions
Multi-factor authentication ensures that only authorized users can access accounts, sensitive information, or apps. Based on product focus areas, features, and user experiences shared in review platforms, here are the leading MFA solutions: Best for enterprises Best for individuals and SMEs Market presence SolutionAverage ratingFree OneIdentity4.5 based on 112 reviews✅ ManageEngine ADSelfService Plus4.4 based on…
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