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Cem Dilmegani

Cem Dilmegani

Principal Analyst
288 Articles
Stay up-to-date on B2B Tech
Cem has been the principal analyst at AIMultiple since 2017.

Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, and Washington Post, global firms like Deloitte and 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

AI
Benchmark
Sep 1

Top Image Recognition Tools Compared

We benchmarked the default API configurations of Amazon Rekognition, Google Cloud Vision, and Microsoft Azure AI Vision on 100 images across 5 object classes, and compared their pricing and feature coverage. Performance metrics for three image recognition platforms were evaluated at an Intersection over Union (IoU) threshold of 0.5, comparing mAP, F1 score, recall, and…

AI
Insight
Sep 1

Top 13 GAN Use Cases

While GANs pioneered many early generative AI applications, particularly in image synthesis and style transfer, most consumer-facing generative AI tools today rely on diffusion-based architectures or related approaches such as flow matching and diffusion transformers (DiT). However, GANs remain important in specific domains, such as super-resolution, face restoration, the generation of synthetic tabular or healthcare…

Cybersecurity
Feature Comparison
Sep 1

Top 10 Sophos Competitors & Alternatives

Sophos is a popular player in the DLP software and cybersecurity markets. However, our analysis identified some shortcomings of its products. Based on our DLP benchmark of the top 6 DLP products, we identified the top Sophos competitors to assist businesses in finding the best DLP software. We compare alternatives to: * Source: Leading B2B…

Agentic AI
Open World Evaluation
Sep 1

30+ Industrial AI Agents 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. Below is a categorized review of over 30 key vendors offering AI agent platforms and tools: To explore each section and discover the relevant vendors, tools, platforms, capabilities, and focus…

Agentic AI
Open World Evaluation
Sep 1

Best 30+ Open Source Web Agents

We tested 30+ open-source web agents across four categories: autonomous agents, computer-use controllers, web scrapers, and developer frameworks. We ran identical benchmarks using the WebVoyager test suite, which covers 643 tasks across 15 real websites, to measure which tools actually complete multi-step web tasks and which fail when sites use dynamic dropdowns or JavaScript-heavy layouts.…

AI
Benchmark
Sep 1

AI Presentation Maker: Gamma vs Google Slides

We evaluated the top 5 AI presentation makers across 9 dimensions with 4 different prompts to assess their context and prompt understanding, visual AI integration, and voice and brand style adaptation capabilities: See the methodology and evaluation criteria to understand how we determined these results. The score variations across Gamma, Google Slides with Gemini, SketchBubble,…

Data
Benchmark
Sep 1

VPN Benchmark of Top 5 VPN Providers

We tested six leading consumer VPN services, measuring throughput against a clean baseline, packet drops over 15 minutes per provider, CPU and RAM use on macOS, and VPN connection behavior under load. Our test on VPN providers show that best VPN services change based on different needs. We combined the six measurements into two scores:…

Enterprise Software
Insight
Sep 1

Top 11 AI in ITSM Use Cases & Examples

Leveraging AI for IT service management (ITSM) tools supports organizations in terms of: See the top 11 use cases of AI in ITSM, examples, and benefits of leveraging AI in ITSM. AI-native ITSM refers to a new way of managing internal support and IT operations where artificial intelligence is not an added feature but part…

Data
Open World Evaluation
Sep 1

+100 Datasets for ML & AI Models

Data is required to leverage or build generative AI or conversational AI solutions. You can use existing datasets available on the market or hire a data collection service. We identified over 100 datasets to train and evaluate machine learning and AI models. Older benchmarks like HumanEval and SWE-bench Verified are now widely considered contaminated or…

Cybersecurity
Open World Evaluation
Sep 1

Top 6 Open Source Sensitive Data Discovery Tools 

The following tools are selected based on GitHub activity and sorted by GitHub star count in descending order. They cover the main use cases for sensitive data discovery: metadata cataloging with lineage, agentless scanning, and API-based detection of PII, PCI data, and credentials at rest. One thing worth being upfront about before the list: these…

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