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Cem Dilmegani

Cem Dilmegani

Principal Analyst
288 Articles
Stay up-to-date on B2B Tech
Cem has been the principal analyst at AIMultiple since 2017.

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

Media, conference & other event presentations

Sources

  1. Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
  2. Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
  3. Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
  4. Science, Research and Innovation Performance of the EU, European Commission.
  5. EU’s €200 billion AI investment pushes cash into data centers, but chip market remains a challenge, IT Brew.
  6. Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
  7. We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

Latest Articles from Cem

Enterprise Software
Feature Comparison
Aug 16

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…

Enterprise Software
Feature Comparison
Aug 14

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…

AI
Benchmark
Aug 14

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…

Enterprise Software
Open World Evaluation
Aug 14

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…

AI
Open World Evaluation
Aug 14

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…

Enterprise Software
Insight
Aug 14

18 Procurement Case Studies & Lessons Learned

Effective procurement practices are necessary across all industries. By examining procurement case studies in various sectors, from non-profit to technology, healthcare, and beyond, we gain valuable insights into the impact of procurement solutions and best practices that can drive success in any industry. By examining procurement case studies from different sectors, we uncover how organizations…

Data
Feature Comparison
Aug 14

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,…

Enterprise Software
Insight
Aug 13

AI Utilities: Top 20 Use Cases & Case Studies

AI utilities refer to AI solutions leverage real-time sensor, meter, and imagery data to forecast demand, automate inspections, optimize distribution, and improve customer service. Learn 20 specific use cases with real-life examples of AI utilities: AI automates plant inspections by analyzing data from cameras and sensors in real time, reducing reliance on human workers and…

Data
Insight
Aug 13

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…

DataAug 13

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…