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Cem Dilmegani

Cem Dilmegani

Principal Analyst
688 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

AIJan 8

The LLM Evaluation Landscape with Frameworks in 2026

Evaluating LLMs requires tools that assess multi-turn reasoning, production performance, and tool usage. We spent 2 days reviewing popular LLM evaluation frameworks that provide structured metrics, logs, and traces to identify how and when a model deviates from expected behavior.

Enterprise SoftwareJan 8

Top 12 RMM Software Tested: Features and Pricing in 2026

RMM software components keep business devices secure and efficient, thanks to features like patch management. We benchmarked top 3 RMM platforms (NinjaOne, ManageEngine, and Acronis) by deploying them to seven servers across six AWS regions. We analyzed how they handle agent deployment and monitoring from scratch.

AIJan 8

AI Center of Excellence (AI CoEs): Real-Life Examples ['26]

Across industries, organizations use AI Center of Excellence (AI CoEs) to solve practical problems such as scaling AI initiatives, enforcing governance, reducing duplication, and connecting AI work to measurable business outcomes. Explore what an AI Center of Excellence is, why organizations set one up, and how it operates in practice.

DataJan 8

7 Integration Testing Best Practices in 2026

Integration testing is a crucial stage in the software testing process. With the growing complexity of software systems, effective integration testing is increasingly critical for identifying issues before they cause significant problems. There are several best practices regarding integration testing, and it can be challenging to know where to begin.

Agentic AIJan 6

Top 40+ AI Developer Tools for Software Development ['26]

We have been experimenting with AI development tools in our code generation and code editing benchmarks for months. To provide a clearer picture of the current state of AI agents for software development, below, we listed 40+ AI developer tools for end-to-end software development.

Agentic AIJan 6

The 7 Layers of Agentic AI Stack in 2026

The rise of agentic AI has introduced a technology stack that extends well beyond simple calls to foundation-model APIs. Unlike traditional software stacks, where value often concentrates at the application tier, the agentic AI stack distributes value more unevenly. Some layers offer strong opportunities for differentiation and moat building, while others are rapidly becoming commoditized.

CybersecurityJan 2

Top 20 Deception Technology Companies in 2026

Deception technology is gaining popularity as organizations seek approaches to protect against evolving cyberattacks including phishing, lateral movement, and insider threats. Companies can leverage deception technology to identify and respond to a cyberattack before it reaches the organization’s actual systems. We cover the top 20 deception technology companies.

AIJan 2

100+ AI Use Cases with Real Life Examples in 2026

During my ~2 decades 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 categorized them by business function and industry.

CybersecurityJan 2

Top 6 SaaS Backup Solutions in 2026

Many businesses operate under the misconception that their SaaS providers (like Microsoft 365 or Google Workspace) fully protect their data from all threats. While these platforms offer robust infrastructure and some level of data redundancy, they do not protect against accidental deletion, ransomware, or insider threats.

Agentic AIDec 31

The Industrial AI Agents Landscape: 30+ Platforms to Watch

Industrial AI agents address the limitations of siloed data by autonomously integrating and deriving actionable insights from IoT, controls systems (e.g. SCADA), and connected assets.

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