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Cem Dilmegani

Cem Dilmegani

Principal Analyst
687 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

AIJun 13

Explainable AI (XAI) in 2026: Guide to enterprise-ready AI

As AI tools become more advanced, more computations are done in a “black box” that humans can hardly comprehend. This approach is problematic since it prevents transparency, trust and model understanding. After all, people don’t easily trust a machine’s recommendations that they don’t thoroughly understand.

DataJun 13

Reproducible AI: Why it Matters & How to Improve it in 2026

Reproducibility is a fundamental aspect of scientific methods, enabling researchers to replicate an experiment or study and achieve consistent results using the same methodology. This principle is equally vital in artificial intelligence (AI) and machine learning (ML) applications, where the ability to reproduce outcomes ensures the reliability and robustness of models and findings.

DataJun 13

Model Retraining [2026]: Why & How to Retrain ML Models?

Only ~40% ML algorithms are deployed beyond the pilot stage. Such low rate of adoption can be explained with the lack of adaptation to new trends and developments such as economic circumstances, customer habits and unexpected disasters like Covid-19.

Agentic AIJun 12

Multi Agent Systems: Applications & Comparison of Tools

Multi-agent systems(MAS) enable distinct AI agents to work together to achieve complex objectives. Every AI agent in the system possesses its specific characteristics and responsibilities that contribute to a greater goal. MAS provides a distinctive approach to managing multi-step tasks and enhancing efficiency.

DataJun 12

Human Annotated Data in 2026

As the AI market grows (Figure 1), integrating AI solutions remains challenging due to time-consuming tasks like data collection and annotation. Many use automated annotation tools to streamline the tedious process of data annotation, but robust machine learning models still require human-in-the-loop approaches and human-annotated data.

AIJun 11

Top 10 Conversational Commerce Use Cases in 2026

The goal of conversational commerce, a cutting-edge marketing and sales strategy, is to increase sales by boosting customer experience through interacting with them on messaging platforms.  Conversational AI solutions such as sales chatbots and virtual assistants are used by conversational commerce enterprises to offer 24/7 client service and engagement.

AIJun 11

Chatbot in South Africa (RSA): Top 10 Vendors in 2026

Businesses in South Africa can benefit from conversational AI. WhatsApp boasts a 96% monthly usage rate among South African internet users, and AI-related searches in Africa grew by 270% in the past year. Therefore, you should capitalize on your audience’s comfort level with conversational AI tools.

AIJun 11

Types of Conversational AI: GenAI Chatbots to IVR in 2026

Conversational AI consists of software that enables human interaction, including chatbots powered by LLMs, voicebots, and interactive agents. These tools help users ask questions, get support, or complete tasks remotely.

AIJun 11

Compare Google Dialogflow and Its Competitors in 2026

Tech giants such as Google, IBM, Microsoft, Amazon, and Facebook are investing in conversational AI to enable developers to build chatbots easily. These AI-powered chatbots can automate various routine tasks such as sending emails, searching for information on search engines, etc.

AIJun 11

Top 5 Travel Chatbots with Use Cases & Examples in 2026

A recent survey found that 65% of travel industry leaders see chatbots and virtual assistants as the most significant applications of generative AI. Chatbots act as personal travel assistants, helping customers find flights and hotels, offering budget-friendly options, and recommending tailored packages and promotions.