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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

Agentic AIOct 24

Building Personal AI Agents + 18 Agent Platforms and Tools

We spent the two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: 1.

DataOct 24

Top 10 Data as a Service Companies in 2026

Data fuels generative AI and enterprise innovation. Data as a Service (DaaS) is a cloud computing model that provides data on demand to users, usually on a subscription basis. This streamlines data collection and management.

DataOct 24

Retail Market Research: Benefits, Trends & 5 Real-Life Examples

A recent report highlights a dramatic shift in customer behavior, with 50% of customers changing their brand preferences, and 90% indicating they’ll continue to switch brands. This trend points to a volatile retail market, underlining the importance for retailers to adapt and innovate to maintain customer loyalty.

Enterprise SoftwareOct 23

AI Utilities with Top 15 Use cases & case studies in 2026

Utility companies face several challenges such as energy cost volatility, supply-chain disruptions, increasing customer demands for decarbonization and clean energy, and the need for personalized experiences. AI adoption can help them streamline operations, optimize resource management, enhance customer interactions, and develop new digital services.

Enterprise SoftwareOct 22

QC Companies [2026]: Guide Based on 4 Ecosystem Maps

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

DataOct 22

22 AutoML Case Studies: Applications and Results in 2026

Though there is a lot of buzz around autoML, we haven’t found a good compilation of case studies. So we built our comprehensive list of automated machine learning case studies so you can see how autoML could be used in your function/industry.

Enterprise SoftwareOct 21

Top 4 WAN Monitoring Software in 2026

We selected WAN monitoring software that offers bandwidth monitoring and traffic analysis, along with real-time tracking of network devices, servers, applications, and infrastructure across wide-area networks. See a comparison of popular WAN monitoring software: Selection criteria We selected WAN monitoring tools meeting these criteria: Top 5 WAN Monitoring Software 1.

Enterprise SoftwareOct 21

Top 10 Tools for Contact Center Automation in 2026

Contact centers must automate to remain competitive. Organizations can implement comprehensive end-to-end solutions or deploy targeted workload automation tools like RPA to address specific operational challenges. These technologies reduce costs while improving service quality and agent productivity.

Enterprise SoftwareOct 20

7 Network Monitoring Use Cases with Real-Life Examples

Effective network monitoring is a cornerstone of efficient IT management, especially for complex, hybrid cloud environments. Through real-world examples, we will illustrate the practical benefits and applications of network monitoring: Core Network Monitoring Use Cases 1. Performance Optimization Network monitoring spots bottlenecks and inefficiencies by analyzing traffic patterns and bandwidth usage.

AIOct 20

Top 5 AI Services to Enhance Business Efficiency in 2026

AI adoption is rapidly increasing. Around 98% of companies are experimenting with AI, reflecting its growing accessibility and potential to improve operations. Yet only 26% have advanced beyond trials to achieve measurable business value, showing that many are still building the capabilities needed to scale AI effectively.