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
Compare 9 Large Language Models in Healthcare
We benchmarked 9 LLMs using the MedQA dataset, a graduate-level clinical exam benchmark derived from USMLE questions. Each model answered the same multiple-choice clinical scenarios using a standardized prompt, enabling direct comparison of accuracy. We also recorded latency per question by dividing total runtime by the number of MedQA items completed.
Large Language Models in Cybersecurity
We evaluated 7 large language models across 9 cybersecurity domains using SecBench, a large-scale and multi-format benchmark for security tasks. We tested each model on 44,823 multiple-choice questions (MCQs) and 3,087 short-answer questions (SAQs), covering areas such as data security, identity & access management, network security, vulnerability management, and cloud security.
Recommendation Systems: Applications and Examples
Recommendation systems benefit both businesses and customers by using data to personalize experiences. They help boost sales, increase customer loyalty, and reduce churn by simplifying choices and keeping users engaged. We benchmarked three Python recommendation libraries: LightFM, Cornac BPR, and TensorFlow Recommenders, using the same implicit-feedback dataset and identical preprocessing steps.
AI Reasoning Benchmark: MathR-Eval
We evaluated eight leading LLMs using a 100-question mathematical reasoning dataset, MathR-Eval, to measure how well each model solves structured, logic-based math problems. All models were tested zero-shot, with identical prompts and standardized answer checking. This enabled us to measure pure reasoning accuracy and compare both reasoning and non-reasoning models under the same conditions.
Top 8 Remote Desktop Tools: Features and Pricing Compared
We tested 8 leading remote desktop tools by signing up for trials, installing their clients, and using their core features, including remote access, unattended access, file transfer, and remote printing. We also evaluated security options, ease of use, integrations, and deployment models to understand how each tool performs for everyday IT and remote support scenarios.
Compare Large Vision Models: GPT-4o vs YOLOv8n
Large vision models (LVMs) can automate and improve visual tasks such as defect detection, medical diagnosis, and environmental monitoring. It is important to note that, for specialized tasks like object detection, LVMs still lag behind domain-specific models. While GPT-4o (Vision) supports object detection, it is not yet optimized like YOLOv8n or DETR.
Top 5 AI Gateways for OpenAI: OpenRouter Alternatives
The increasing number of LLM providers complicates API management. AI gateways simplify this by serving as a unified access point, allowing developers to interact with multiple providers through a single API.
Top 10 Open Source Job Schedulers & WLA Tools
Businesses leverage open-source job schedulers and workload automation tools to automate IT tasks without paying licensing costs or getting locked in to a specific vendor.
Top 10 Enterprise Job Scheduler Software
AIMultiple vetted top job scheduling software based on the features, pricing, and market presence metrics of leading solutions. Follow the links below to see our rationale for each selection: Enterprise job scheduling software market leaders **Ratings are based on B2B review platforms.
Database Monitoring Tools: SolarWinds vs New Relic vs Datadog
We installed three database monitoring platforms on a clean system running MySQL to see how they handle database monitoring from scratch. We examined: ease of setup, onboarding experience, agent resource consumption, accuracy in metric measurement, and effectiveness of their alerting systems’ notifications when issues arise under real-world database workloads.
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