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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

AIFeb 18

10+ Large Language Model Examples & Benchmark

We have used open-source benchmarks to compare top proprietary and open-source large language model examples. You can choose your use case to find the right model. Comparison of the most popular large language models We have developed a model scoring system based on three key metrics: user preference, coding, and reliability.

AIFeb 18

Top 15 Logistics AI Use Cases & Examples

Persistent inefficiencies, rising operational costs, and ongoing supply chain disruptions continue to challenge logistics functions globally. These pressures are straining traditional systems, reducing service reliability, and limiting organizations’ ability to scale. In response, companies are increasingly turning to artificial intelligence to enhance end-to-end visibility, strengthen resilience, and optimize core functions.

AIFeb 18

Cloud LLM vs Local LLMs: Examples & Benefits

Cloud LLMs, powered by advanced models like GPT-5.2, Gemini 3 Pro, and Claude Opus 4.6, offer scalability and accessibility. Conversely, Local LLMs, driven by open-source models such as Qwen 3, Llama 4, and DeepSeek R1, ensure stronger privacy and customization.

AIFeb 18

Top 25 Chatbot Case Studies & Success Stories

The global chatbot market is estimated at approximately $15.6 billion in 2026 and is projected to reach $46.6 billion by 2029. Most deployments fail. The bots that last are built for a single specific task and perform it better, faster, or more cost-effectively than a human agent can at scale.

CybersecurityFeb 17

Top 5 ZTNA Open Source Components

ZTNA is replacing VPNs in many organizations as part of a broader move toward zero-trust security. ZTNA open-source tools offer a cost-effective way to authorize access at each layer, securing remote access to resources.

DataFeb 16

Top 20 Web Scraping Applications in 2026

Web scraping has evolved from simple manual scripts into advanced systems that help AI gather information. Agentic scraping lets AI agents navigate websites, handle dynamic content, and adapt to new layouts. To bypass advanced AI-based bot detection, companies use managed browser automation. This approach uses real browsers in the cloud that act like real people.

DataFeb 16

The Most Common Web Scraping Challenges in 2026

Web scraping, the process of extracting required data from web sources, is an essential tool; however, it is a technique fraught with challenges. See below the most common web scraping challenges and practical solutions to address them.

AIFeb 16

Banking Chatbots: 8 Tools, 5 Use Cases & 5 Practices

Industries where customer service is a top priority face increasing costs due to the demand for excellent customer service. Banking chatbots enable customers to complete transactions via voice or text, reducing operational costs and enhancing customer satisfaction.

Enterprise SoftwareFeb 16

eCommerce Technologies Use Cases & Examples

The eCommerce sector continues to expand by ~10% each year as more consumers shift their purchasing habits online and seek faster and more convenient digital experiences.This growth is also accompanied by increasing competition, making it essential for businesses to understand how technology is shaping customer expectations.

DataFeb 16

Web Scraping Roadmap in 2026: Insights from 30M Requests

We crawled more than 30 million web pages using more than 50 products from 6 leading web data infrastructure companies. Our goal was to determine which solutions truly handle the complexities of enterprise-level scraping.