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Cem Dilmegani

Cem Dilmegani

Principal Analyst
515 Articles
Stay up-to-date on B2B Tech
Cem has been the principal analyst at AIMultiple for almost a decade.

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

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

CybersecurityFeb 23

Compare 10 Open Source MFA Tools

When starting your free and open source multi-factor authentication (MFA) implementation, consider: Features of open source MFA solutions All tools (except LDAP) support hardware tokens (e.g., YubiKey) and the FIDO2 / WebAuthN passwordless authentication protocol. FIDO2 does not use shared secrets, such as passwords; it minimizes the vulnerabilities associated with data breaches.

AIFeb 23

Top 20 Predictions from Experts on AI Job Loss

As a McKinsey consultant I spent a decade helping enterprises adopt technology including automation tech. 90% of all desk-based corporate roles that I have seen can be automated with the latest AI models combined with the right agent harness.

Agentic AIFeb 22

Best LLMs for Extended Context Windows in 2026

We ran a proprietary 32-message conversation test on 22 leading AI models to see how much of their advertised context windows actually work. The conversation includes synthesis tasks that require recalling information from earlier messages, not just parroting the last thing said.

Enterprise SoftwareFeb 22

CRM AI Systems: Top 5 Vendors and Key Features

We tracked 50+ product announcements from major CRM vendors, analyzed integration launches from Salesforce, HubSpot, and Microsoft, and cross-referenced adoption data from 15+ industry research reports to understand which AI CRM features actually deliver value versus marketing hype.

Agentic AIFeb 21

Agentic CLI Tools: Codex vs Claude Code

Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project. We tested the leading tools in 10 real-world web development scenarios to see which one is more realiable.

Enterprise SoftwareFeb 20

Top 12 Alternatives to Windows Task Scheduler in 2026

Windows Task Scheduler, like open-source job schedulers, has no license costs. However, our review found that Task Scheduler’s Windows focus and limited scheduling capabilities may be not sufficient for complex IT scenarios and hybrid cloud requirements of enterprises. Users seeking alternatives to Task Scheduler typically fall into three categories.

Enterprise SoftwareFeb 20

Compare Top 10 Alternatives to AutoSys in 2026

AutoSys users are increasingly seeking alternatives due to its reliance on command-line interfaces, rising costs, and uncertainty under Broadcom. Based on our research, we chose the top alternatives to AutoSys. We explained our selection rationale in the vendor’s sections and comparison tables. Use the links below to navigate directly.

Enterprise SoftwareFeb 20

7 Network Monitoring Use Cases with Real-Life Examples in 2026

Network monitoring is one of those things that IT teams only notice when it is missing. When it works well, problems get caught before users know anything is wrong. When it is absent, a minor connectivity issue can quietly escalate into a major outage.

AIFeb 20

Top 20+ Agentic RAG  Frameworks

Agentic RAG enhances traditional RAG by boosting LLM performance and enabling greater specialization. We conducted a benchmark to assess its performance on routing between multiple databases and generating queries. Explore agentic RAG frameworks and libraries, key differences from standard RAG, benefits, and challenges to unlock their full potential.

CybersecurityFeb 20

Top 14 Network Planning Tools: Key features & Benefits

Network planning tools help businesses optimize performance, manage resources efficiently, and ensure scalable, reliable network designs for growth and stability.