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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

Enterprise SoftwareJan 22

Quantum Computing Companies of 2026

Quantum computing, which has wide-ranging applications in optimization, research, and cryptography, is driven by these organizations: Quantum hardware is an emerging computing technology that relies on complex hardware. As in the early days of personal computing, there are companies specializing in hardware, software, and end-to-end solutions.

AIJan 22

Top 15 Edge AI Chip Makers with Use Cases in 2026

The demand for low-latency processing has driven innovation in edge AI chips. These processors are designed to perform AI computations locally on devices rather than relying on cloud-based solutions. Based on our experience analyzing AI chip makers, we identified the leading solutions for robotics, industrial IoT, computer vision, and embedded systems.

Enterprise SoftwareJan 22

Quantum Annealing in 2026: Practical Quantum Computing

Quantum annealing is a promising quantum technology for companies with urgent optimization problems that traditional computers cannot solve quickly. It can be used to solve optimization problems more effectively than traditional computers. However, it is still mostly used in academia, and more R&D is required to build commercial quantum annealers.

Enterprise SoftwareJan 22

Quantum Artificial Intelligence

Quantum computing and artificial intelligence are both transformational technologies, and artificial intelligence is likely to require quantum computing to achieve significant progress. Although artificial intelligence produces functional applications on classical computers, it is limited by their computational capabilities.

Enterprise SoftwareJan 21

Best Open Source RPA Tools

Open-source RPA (Robotic Process Automation) can still play an important role in the future of automation. Its main advantages are transparency, flexibility, and the absence of licensing costs. Several open-source RPA tools already exist. Below, we list six notable options and link to their source code.

AIJan 21

Large Language Model Evaluation in '26: 10+ Metrics & Methods

Large Language Model evaluation (i.e. LLM eval) is the multidimensional assessment of large language models (LLMs). Effective evaluation is crucial for selecting and optimizing LLMs. Enterprises have a range of base models and their variations to choose from, but achieving success is uncertain without precise performance measurement.

AIJan 21

Generative AI Copyright Concerns & 3 Best Practices in 2026

We analyzed tens of court cases and licensing deals to answer these key questions about copyright and generative AI. However, this is not legal advice. Copyright law varies by jurisdiction and is actively evolving. Consult qualified legal counsel for your specific situation. The Three Big Questions 1.

Enterprise SoftwareJan 21

Quantum Computing Stats: Forecasts & Facts for 2026 & Beyond

Quantum computing is an emerging field that has the potential to fundamentally change computing and build smarter machines. To understand the potential of quantum computing (QC), feel free to read our research on QC and its applications.

Enterprise SoftwareJan 21

Quantum Entanglement: What is it & Why is it important in 2026?

Various industries are trying to solve time and processing power consuming problems using quantum computers to unlock valuable applications of quantum computing. The phenomena of quantum entanglement comes useful to cut down on the time and computing power to process information transfer between qubits. Entanglement enables tasks such as quantum cryptography, superdense coding, and teleportation.

Enterprise SoftwareJan 21

Quantum Software Development Kits in 2026

Quantum Software Development Kit is a tool for developing quantum algorithms that can be used in quantum computers or simulators and emulators. See what quantum SDKs are in detail and what some examples of them are.