Cem Dilmegani
Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, and Washington Post, global firms like Deloitte and 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 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
7 Network Security Use Cases
Network security protects the systems, traffic, and accounts that run an organization. We examine seven network security use cases each a real-world example, ranging from detecting insider threats to managing privileged access. Malicious insiders account for a large share of reported security incidents,1 making it hard to distinguish normal activity from harmful activity, since these…
Agentic AI for Cybersecurity: 10 Use Cases & Examples
Agentic AI refers to AI systems that combine models like large language models (LLMs) with automated workflows, tool integration, and decision support. These systems assist security teams in SecOps and AppSec by analyzing alerts, automating routine tasks, and supporting investigative work. Explore structured, real-world use cases of agentic AI in cybersecurity, as well as what…
Bias in AI: Examples and 6 Ways to Fix it
Interest in AI is increasing as businesses witness its benefits in AI use cases. However, there are valid concerns surrounding AI technology: To see if there would be any biases that could arise from the question format, we tested the same questions in both open-ended and multiple-choice formats. We found that when open-ended questions were…
Explore Top 11 Privacy Enhancing Technologies
Even with regulations like GDPR and CCPA, consumer data is often exposed to hackers, companies, and governments. As businesses share data with third parties to improve network visibility, the risk of leaks grows. Privacy Enhancing Technologies (PETs) help companies use this data while keeping personal or sensitive information private. Explore the top 10 PET tools…
Top 15 Accounting AI Agents
Tools like Dext, AutoEntry, and Hubdoc have automated data extraction and transaction posting. But these systems are fundamentally still rule-based, often requiring accountants to jump between spreadsheets. Thus, after reviewing the documentation and watching demos, we picked the top 15 AI-based accounting agents: The demos below show how accounting agents handle different tasks. In this…
100+ AI Use Cases with Real Life Examples
Exploring AI use cases can help companies identify 44% more opportunities and lower external funding needs by 39.5% before implementation. During my nearly 20 years of experience of implementing advanced analytics & AI solutions at enterprises, I have seen the importance of use case selection. I analyzed 100+ AI use cases, their real-life examples and…
Ethical & Compliant Web Data Benchmark
As enterprises scale their web data operations, compliance, data, and risk executives increasingly evaluate the associated ethical, reputational, and legal risks. We benchmarked 5 leading web data collection services across 3 dimensions and tested each service with more than 20 potentially unethical scenarios. Our work helps you assess the ethical standing of your data collection…
Ninjaone Review: 15 Capabilities for Enterprise IT
NinjaOne serves IT units in 40,000 businesses. Its platform includes endpoint control, monitoring, security, backup, and service operations. NinjaOne has market-leading performance on patch management and RMM. Each section explains our experience with NinjaOne and its performance: Endpoint management tools help IT teams control, monitor, and update all devices (Windows, macOS, Linux) from one system.…
Top 30+ AI Chip Makers: NVIDIA & Its Competitors
Based on our experience running AIMultiple’s cloud GPU benchmark with 10 different GPU models in 4 different scenarios, these are the top AI hardware companies for data center workloads. *Selected AI chip is the part, platform, or announced project that best represents each vendor. Some entries are systems, services or licensable IP rather than a…
Web Scraping Roadmap
We scraped 10,000 live domains and 100 marketplaces using products from six web data infrastructure companies.We benchmarked these tools to see how well they handle enterprise web data use cases. We benchmarked 4 leading web data providers across the top 10,000 domains, running a total of 260,000 requests. Each provider was tested at multiple concurrency…
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