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Cem Dilmegani

Cem Dilmegani

Principal Analyst
300 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 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

Cybersecurity
Feature Comparison
Jul 5

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. Follow the links for the rationale behind each selection: See the features and attributes of alternatives to Tenable Nessus: *Ranking is based on the review ratings, except…

Cybersecurity
Open World Evaluation
Jul 5

Top 10 Free PAM Solutions

There are no plug-and-play free PAM solutions for production environments. A few vendors offer free tools with PAM capabilities for low-scale deployments. Some, such as Devolutions Hub, also have paid business plans with approval workflows and reporting. See free tools based on their level of PAM support: Vault-based tools: For secure credential storage Infrastructure automation…

Enterprise Software
Open World Evaluation
Jul 3

Best Database Performance Monitoring Tools: Top 5 Platforms Compared

Database issues cause application failures: A memory spike crashes your server, and a slow query times out user requests. We analyzed six database monitoring platforms and benchmarked three of them extensively on MySQL and MongoDB by installing them from scratch, running identical workloads, and documenting every step of the setup and monitoring experience. The results…

AI
Benchmark
Jul 3

Tabular Models Benchmark: Performance Across 19 Datasets 2026

We benchmarked 8 tabular learning models on 19 real-world datasets covering roughly 260,000 samples, with dataset sizes from 435 to 48,800 rows. Every model ran on the same machine with 5-fold cross-validation and identical splits. Each dataset is a round-robin of head-to-head matches between models, decided by the primary metric. Elo aggregates all 483 matches…

Enterprise SoftwareJul 3

Top 3 MFT Platforms With Distinctive AI Features

We analyzed AI MFT vendors based on customer reviews, protocol support, and documented AI capabilities. The focus is on features that technical teams can validate through product pages, documentation, and marketplace listings. JSCAPE by Redwood takes a straightforward approach: SLA monitoring and early-warning alerts, with AI sitting in the Redwood platform layer rather than inside…

Data
Feature Comparison
Jul 2

Top No-Code ML Platforms: ChatGPT Alternatives

We benchmarked 3 no-code machine learning platforms across key metrics: data processing (handling missing values, outliers), model setup and ease of use, accuracy metrics output, availability of visualizations, and any major limitations or notes observed during testing. Note: Scores represent average performance across kNN and Logistic Regression where applicable. Results may vary based on dataset…

Cybersecurity
Open World Evaluation
Jul 2

Analysis of Top 4 Open Source NGFWs Based on Features

Teams using NGFWs, AI-driven security, and automation save ~$2M more than those using traditional tools. See open source NGFW as a cost-effective network security solution for comprehensive security: Table 1. Key features For details of key features of open source NGFW and their importance, check the ngfw features. Table 2. Market presence *Based on data…

AI
Insight
Jul 2

Top 10 Voice Recognition Tool & Applications

If you’ve used virtual assistants like Alexa, Cortana, or Siri, you’re likely familiar with speech recognition and conversational AI. This technology enables users to interact with devices through verbal commands by converting spoken queries into machine-readable text. Explore the top 10 uses of voice recognition technology in voice search, customer service, healthcare, and other areas.…

AI
Insight
Jul 2

No-Code AI: Benefits, Industries & Key Differences

No-code AI tools allow users to build, train, or deploy AI applications without writing code. These platforms typically rely on drag-and-drop interfaces, natural language prompts, guided setup wizards, or visual workflow builders. This approach lowers the barrier to entry and makes AI development accessible to users without a programming background. Recently, no-code AI has expanded…

AI
Benchmark
Jul 2

RAG Evaluation Tools: Weights & Biases vs Ragas vs DeepEval

When a RAG pipeline retrieves the wrong context, the LLM confidently generates the wrong answer. Context relevance scorers are the primary defense. We benchmarked five tools across 1,460 questions and 14,600+ scored contexts under identical conditions: same judge model (GPT-4o), default configurations, and no custom prompts. Under standard conditions, WandB, TruLens, and Ragas emerged as…