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Cem Dilmegani

Cem Dilmegani

Principal Analyst
573 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

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.

AIDec 30

Agentic Document Extraction: LandingAI & more in 2026

Agentic Document Extraction (ADE) is a specialized form of Optical Character Recognition (OCR) that extracts data from various file types. It combines document processing, data retrieval, structured output generation, and automation to streamline knowledge work. ADE stands out from traditional OCR by its ability to recognize complex document structures, such as tables, flowcharts, and images.

CybersecurityDec 26

Top 10 Open Source ASM Software Based on GitHub Stars

Attack surface management tools need four core capabilities: discovering internet-facing assets, prioritizing risks, fixing vulnerabilities, and continuously monitoring your network.

Enterprise SoftwareDec 26

Mobile Device Management Pricing Comparison: 10+ Products

Understanding pricing structures and other aspects of Mobile Device Management (MDM) software is necessary to make wise decisions. Depending on the pricing structure, mobile device management products can range in price. See how Mobile Device Management pricing is structured and compare MDM products. Price comparison Ranking: From least to most expensive.

Agentic AIDec 25

Vision Language Models Compared to Image Recognition

Can advanced Vision Language Models (VLMs) replace traditional image recognition models? To find out, we benchmarked 16 leading models across three paradigms: traditional CNNs (ResNet, EfficientNet), VLMs ( such as GPT-4.1, Gemini 2.5), and Cloud APIs (AWS, Google, Azure).

AIDec 25

Hybrid RAG: Boosting RAG Accuracy in 2026

Dense vector search is excellent at capturing semantic intent, but it often struggles with queries that demand high keyword accuracy. To quantify this gap, we benchmarked a standard dense-only retriever against a hybrid RAG system that incorporates SPLADE sparse vectors.

Enterprise SoftwareDec 22

APIs in the Telecom Industry: Benefits, Technologies & Examples

Telecom customers care most about service quality and price. To meet these demands, telecom companies are turning to APIs as a practical way to improve services while cutting costs. . Telecom companies started to embrace new technologies and digital transformation to be able to provide high-quality services and reduce costs.

DataDec 19

IT Documentation Benchmark & Review in 2026

We evaluated the leading IT documentation platforms to assess their performance, features, and usability. Our benchmark measured document creation workflows, editor capabilities, search accuracy, and relationship management across real-world scenarios, including error code searches, PDF content indexing, and command syntax preservation. Benchmark findings *NinjaOne auto-saves drafts but doesn’t display them separately.