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Cem Dilmegani

Cem Dilmegani

Principal Analyst
346 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 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 SoftwareApr 6

Types of Virtual Reality & Use Cases in 2026

75% of industrial companies implementing large-scale virtual reality (VR) and AR solutions have reported a 10% increase in operational efficiency. With Fortune 500 adoption now exceeding 75%, these technologies have transitioned from experimental pilots to essential enterprise infrastructure.

DataApr 3

Geonode Proxies 2026: Pricing and Performance

We reviewed Geonode and its top competitors, including Bright Data, Decodo, Webshare, and Oxylabs. Decide whether Geonode is a suitable solution for your specific proxy use cases based on its features and pricing. Geonode alternatives comparison Geonode overview Geonode specializes in residential proxies and datacenter proxies. The proxy service provider offers two residential package types: unlimited and pay-as-you-go.

AIApr 3

25 Healthcare AI Use Cases with Examples

Healthcare systems are under growing pressure from rising patient data volumes and increasing demand for personalized care.  Healthcare AI applications have emerged as a powerful solution to these problems by optimizing processes, enhancing diagnostic accuracy, and improving patient outcomes.

CybersecurityApr 3

Top 20 Deception Technology Companies

Deception technology deploys fake assets to detect attackers who have bypassed perimeter defenses. Companies can use deception technology to detect and isolate a cyberattack before it reaches the organization’s actual systems. We cover the top 20 deception technology companies.

Agentic AIApr 2

Centralizing AI Tool Access with the MCP Gateway

We’ll walk through the evolution of AI tool integration, explain what the Model Context Protocol (MCP) is, and show why MCP alone isn’t production-ready. Then we’ll explore real-world gateway implementations for connecting AI agents to external tools. OpenAI-compatible and lightweight MCP Gateways Designed to make MCP tools easily accessible to agents and AI clients.

CybersecurityApr 2

Top 16 UEBA Use Cases for Today's SOCs in 2026

Traditional security measures, such as web gateways, firewalls, IPS tools, and VPNs, are no longer sufficient to defend against modern cyberattacks. Attackers routinely operate using valid credentials that rule-based tools never flag. UEBA systems address this gap by monitoring non-user entities alongside human users, using machine learning to establish behavioral baselines and detect deviations.

CybersecurityApr 1

Top 5 NGFW Use Cases with Case Studies

The market for next-generation firewalls (NGFWs) is rapidly expanding, with an anticipated compound annual growth rate of ~11% between 2023 and 2028, increasing from $5 billion to $8.6 billion. As organizations seek advanced security solutions to combat evolving cyber threats, NGFWs are becoming essential.

DataApr 1

Top 6 Data Collection Methods for AI and Machine Learning

While some companies rely on AI data collection services, others gather their data using scraping tools or other methods. See the top 6 AI data collection methods and techniques to fuel your AI projects with accurate data: Overview of AI data collection methods 1.

CybersecurityApr 1

Top 5 Alternatives to Tenable Nessus : Features & Comparison

Several notable options are available in the DAST and vulnerability scanning tools market. We selected the top alternatives to Tenable Nessus based on our research and DAST benchmark.

Agentic AIApr 1

Large Action Models: Hype or Real?

Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring users to click on apps or integrate APIs.