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 12 Alternatives to Windows Task Scheduler in 2026
Windows Task Scheduler, like open-source job schedulers, has no license costs. However, our review found that Task Scheduler’s Windows focus and limited scheduling capabilities may be not sufficient for complex IT scenarios and hybrid cloud requirements of enterprises. Users seeking alternatives to Task Scheduler typically fall into three categories. Select your category for relevant solutions:…
Compare 45+ MLOps Tools in 2026
Machine Learning Operations (MLOps) brings DevOps principles into machine learning from model deployment to maintenance to automate transitions between training and deployment pipelines Explore 45+ MLOps tools for different components of the ML lifecycle, such as: Data management solutions Operationalization solutions Modeling solutions End-to-end MLOps platforms. What are the types of MLOps solution providers? Open…
Compare Top 5 Stonebranch Alternatives
Stonebranch is a SaaS workload automation solution with a wide range of community-driven pre-packaged integrations. However, Stonebranch alternatives may suit specific users. Follow the links below to see these Stonebranch alternatives’ benefits and case studies: ~30 WLA tools exist in the workload automation software landscape. We analyze each competitor’s features, user reviews and market presence…
Top 6 JAMS Scheduler Alternatives in 2026
Based on our analysis of 10+ WLA software, we chose the top JAMS Scheduler alternatives. Click the links to see JAMS Scheduler alternatives’ benefits and case studies: Comparison of JAMS and Top 6 Alternatives JAMS Scheduler is a workload orchestration tool that manages jobs and tasks across platforms and systems. However, when considering alternatives, it’s…
7 Useful AI Transformation Strategies in 2026
Before choosing how to transform AI, leaders need to know where to start. We analyzed the Anthropic Economic Index (March 2026 release)5, mapping over 1 million real-world Claude interactions across 3,260 occupational tasks to the standard APQC Process Classification Framework (PCF).6 Check out high, mid, and granular-level processes by real-world AI exposure and human verification…
Top 10 Mortgage Chatbots in 2026: Use Cases & Examples
Banks that keep customers happy grow deposits 85% faster than competitors. Loan processing directly affects client satisfaction. 14. Chatbots can handle mortgage-related tasks around the clock, simulating what mortgage brokers typically do. We examine 10 vendors, their practical applications, and United Wholesale Mortgage’s implementation. Top 10 mortgage chatbots VendorAverage RatingMortgage Specific FeatureLow/ No-code Bot Builder…
State of OCR technology: Is it dead or a solved problem?
Optical Character Recognition (OCR) is one of the earliest areas of artificial intelligence research. Today, OCR technology is relatively mature and no longer called AI, which is a good example of Pulitzer Prize winner Douglas Hofstadter’s quote: AI is whatever hasn’t been done yet.22 In our OCR benchmark, DeltOCR, a large language model, correctly reads…
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…
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