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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

CybersecurityAug 1

100+ Network Security Statistics in 2026

Network security is essential to maintain strong organizational resilience and understand network security use cases. Discover 100+ current network security data points derived from expert evaluation and market analysis: 1-Key network security statistics 1.

CybersecurityAug 1

Top 20 Active Directory Management Tools in 2026

Although many systems have moved to the cloud, Active Directory (AD) remains the central identity platform for managing users, devices, and access across most organizations.

AIJul 31

10 Computer Vision Agriculture Use Cases & Examples ['26]

Labor shortages, resource inefficiencies, and environmental pressures increasingly challenge agriculture. Climate change adds to this burden through extreme weather, water scarcity, and rising pest threats, further straining productivity and sustainability. Computer vision offers targeted solutions by enabling automation and data-driven insights across critical farming operations.

DataJul 31

Top 13 Training Data Platforms in 2026

Data is an essential part of the quality of machine learning models. Supervised AI/ML models require high-quality data to make accurate predictions. Training data platforms streamline data preparation from collection to annotation, ensuring high-quality inputs for AI systems.

Enterprise SoftwareJul 29

Top 15 Network Performance Statistics: Insights and Trends

Network monitoring and performance management are more critical than ever for maintaining seamless operations and ensuring optimal performance. We delve into 15+ essential network performance statistics that highlight the significance and impact of network monitoring and performance monitoring on businesses and IT infrastructures worldwide.

AIJul 29

Generative AI in Life Sciences: Use Cases & Examples ['26]

Large language models, as part of generative AI, can predict protein structures and characteristics for use in healthcare and other industries. Generative AI in life sciences is transforming the field, driving advancements in drug discovery, personalized medicine, and diagnostics.

AIJul 29

Top 50 Content Writing Statistics in 2026

The content writing industry has grown in popularity over the years, and recent advancements in AI and LLMs have dramatically transformed the landscape. So, we have gathered 50 content marketing statistics about  to make a data-driven presentation about the current state of the content writing industry as a whole.

CybersecurityJul 28

Top 6 Open Source Sensitive Data Discovery Tools  in 2026

Based on features and user experiences shared in review platforms, here are the top 6 open-source sensitive data discovery tools: Administrative features Feature descriptions: These functionality (especially data lineage and search capabilities) allow businesses to: Data security features Feature descriptions: Categories and GitHub stars Tool selection & sorting: DataHub DataHub is an open-source unified sensitive

CybersecurityJul 28

Differential Privacy: How It Works, Benefits & Use Cases

Violating data privacy is costly for organizations due to factors such as diminished reputation or regulatory fines. IBM’s 2022 Cost of a Data Breach report states that the average total cost of a data breach is nearly $4.5 million. However, access to private information is required in building solutions to many important business problems.

Enterprise SoftwareJul 27

Top 9 Network Observability Tools in 2026

Network observability offers insights into a network’s performance metrics, allowing organizations to identify and address vulnerabilities in a timely manner. Tools that leverage AI can facilitate the automatic detection of anomalies in network traffic and network performance. Top 9 network observability tools * Reviews are based on Capterra and G2.