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
Top 12 Mobile Device Management Software
Mobile device management (MDM) software lets IT teams enroll, configure, secure, and monitor phones, tablets, and laptops from a single console. Remote and hybrid work spread company data across devices that sit outside the corporate network, which is where MDM does its work. See 12 MDM products compared on platform coverage, enrollment options, market presence,…
RMM Software Benchmark: NinjaOne vs ManageEngine vs Acronis
Remote monitoring and management (RMM) software installs agents on client endpoints, servers, network devices and virtual machines, and reports their health and performance metrics to a centralized dashboard so managed service providers (MSPs) and IT departments can patch, script and troubleshoot remotely. We benchmarked the top 3 RMM platforms (NinjaOne, ManageEngine, and Acronis) by deploying…
AI Code Review Tools Benchmark
With the increased use of AI coding tools, codebases have become more prone to vulnerabilities, which increased the need for effective code reviews. To address this, we introduce RevEval (AI Code Review Eval), which benchmarks the top four AI code review tools across 309 pull requests from repositories of varying sizes and evaluates their performance…
Best Rotating Proxies: Residential & Mobile
We benchmarked major rotating proxies (residential, datacenter, and mobile) using over 200,000 requests, including 100,000 parallel requests, for major e-commerce and social media sites. See the top solutions based on our tests and follow the links to learn more from these vendors: To avoid detection, use IP signatures that resemble those of genuine mobile users.…
Top 8 Network Monitoring Software
We compared the top 8 network monitoring tools for their performance, ease of setup, and real-world usability. The table is sorted based on the number of reviews. We list our subscribers at the top. Vendor selection criteria: We narrowed down our network monitoring software comparison using three main factors: For definitions of the features mentioned…
IT Documentation Benchmark & Review
We evaluated the leading IT documentation platforms to assess their performance, features, and usability. Our benchmark measured document creation workflows, editor capabilities, search accuracy, and relationship management across real-world scenarios, including error code searches, PDF content indexing, and command syntax preservation. *NinjaOne auto-saves drafts but doesn’t display them separately. Starting a new draft brings up…
Top 30+ AI Chip Makers: NVIDIA & Its Competitors
Based on our experience running AIMultiple’s cloud GPU benchmark, we compare chip makers by product, availability and architecture, covering data center GPUs, mobile chips, edge accelerators and foundries. Each row names a representative product, its type and its availability. Availability distinguishes hardware offered for sale, cloud services, internal deployments and announced products. Dates refer to…
Best 9 Network Monitoring Tools in Windows
We tested network monitoring tools designed for Windows environments to evaluate their performance in real-world deployments. Our goal was to find solutions balancing reliability, usability, and deep integration with Microsoft systems. Each tool had to meet three criteria: Protocol Support: Tools needed to handle multiple communication protocols: SNMP, TCP, ICMP, and IPMI. Compatibility: Each tool…
Remote Browsers: Web Infra for AI Agents Compared
AI agents rely on remote browsers to automate web tasks without being blocked by anti-scraping measures. The performance of this browser infrastructure is critical to an agent’s success. We benchmarked 8 providers on success rate, speed, and features. To do this, we executed 160 automated tasks, running 4 distinct scenarios 5 times for each service…
AI Agent Performance: Success Rates & ROI
Recent research reveals that AI performance follows predictable exponential decay patterns, enabling businesses to forecast capabilities and differentiate between costly failures and successful ROI-generating implementations. I oversaw 12 AIMultiple benchmarks, including nearly 70 AI agents across more than 1,000 tasks. See what each benchmark measures and where limits remain: Computer use agents interact with a…
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