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
Linux Job Scheduler: Review, Guide & Alternatives
Linux job scheduler and ‘cron,’ a time-based job scheduler, are common job scheduling tools. If you: * Linux Completely Fair Scheduler (CFS) ** Enterprise job schedulers include Stonebranch, ActiveBatch, RunMyJobs & JAMS Scheduler. A Linux job scheduler is a tool used in Linux systems for automating routine tasks and job scheduling without manual intervention. It…
Top 6 JAMS Scheduler Alternatives
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: JAMS Scheduler is a workload orchestration tool that manages jobs and tasks across platforms and systems. However, when considering alternatives, it’s important to consider its drawbacks, such as…
Network Monitoring Service Pricing Comparison
Network monitoring service pricing is shaped by several factors: how many devices you’re monitoring, what protocols and integrations you need, and whether you’re deploying on-premises or in the cloud. The five services below use different billing units, sensors, hosts, resources, or technicians, which makes direct price comparisons harder than they look. * When the solution…
Top 5 Open Source Database Monitoring Tools
We researched 5 open-source database monitoring platforms, verifying capability claims against official documentation and release notes, testing setup and query analysis on MySQL and MongoDB workloads, and cross-referencing community adoption data for Netdata, Prometheus + Grafana, Zabbix, pgwatch, and Percona PMM. Note: The tools in this list are sorted in descending order by total GitHub…
Top 12 AI Control Plane Tools for Regulated Deployments
An AI control plane provides a shared layer for operating AI agents and agent-based applications. We compared the top 12 AI control plane tools for enterprise architects, security teams, and AI governance owners planning AI adoption at enterprise scale. Read the methodology to see how we scored these products. Vendor selection criteria: We included vendors…
Geonode Proxies: Pricing and Performance
Geonode is a budget residential, datacenter, and ISP proxy provider. It competes on price rather than pool size or built-in scraping tools. This review covers its pricing, features, performance, and main alternatives. Geonode offers residential proxies in two models, pay-as-you-go and unlimited, plus datacenter and ISP (static residential) proxies. Proxies support HTTP, HTTPS, and SOCKS5,…
The Most Common Web Scraping Challenges
Web scraping has become more difficult in recent years. Since 2025, AI-related scraping has raised significant legal concerns. Platforms and infrastructure providers have adopted new methods to control AI crawlers and manage data collection. There are many technical challenges that web scrapers face due to the barriers set by data owners or website owners to…
Web Scraping for Recruiters: Top Tools & Techniques
Recruiters rely on web data to build talent pools, monitor hiring demand, and benchmark compensation. But how you collect that data matters. Many automation tools use cookie/session-based scraping (higher risk of bans), while proxy-based scraping APIs and managed scrapers are built for scale and reliability. Dedicated scrapers and site-specific APIs are the right option when…
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.19 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…
LLM Latency Benchmark by Use Cases
We benchmarked 11 top large language models with a total of 1,320 requests, splitting reasoning and non-reasoning models, and measured first-token latency, per-token latency, and overall response time. You can find details on how we measured latency here. We report reasoning and non-reasoning models separately. Reasoning models spend several seconds thinking before the first visible…
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.