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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 AINov 28

Best 10+ Commercial & Open Source AI Agents in Sales

AI SDRs support sales teams by automating key parts of the sales outreach process. These agents integrate with CRMs, email tools, and outreach platforms, and improve over time through feedback and performance data for sales operations.

Enterprise SoftwareNov 28

Comparison of Top 5 Free Cloud GPU Services in 2026

AI and machine learning advancements have surged demand for GPUs, essential for high-performance computing. Dedicated GPU infrastructure requires high capital, but cloud-based services now offer cost-effective access. Free GPU platforms are increasingly vital for researchers, developers, and budget-conscious organizations.

CybersecurityNov 27

Top 7 Next-Generation Firewall (NGFW) Features in 2026

Traditional firewalls, which perform simple port and protocol inspection, are less capable than next-generation firewalls (NGFWs) in preventing cyber incidents. NGFWs go beyond simple port and protocol inspection by: Learn what is a next-generation firewall (NGFW) and its top 7 features: 1.

Enterprise SoftwareNov 27

Best Open Source RPA Tools in 2026

There are already some open-source RPAs, and we are showing the top 6 ones and their source codes. Note that the ecosystem is still relatively immature. However, with the commodification of RPA technology, more vendors are offering similar solutions.

AINov 27

23 Healthcare AI Use Cases with Examples in 2026

Healthcare systems are under growing pressure from rising patient data volumes and increasing demand for personalized care.  Healthcare AI applications have emerged as a powerful solution to these problems by optimizing processes, enhancing diagnostic accuracy, and improving patient outcomes.

DataNov 27

12+ Data Augmentation Techniques for Data-Efficient ML

Data augmentation techniques generate different versions of a real dataset artificially to increase its size. Computer vision and natural language processing (NLP) models use a data augmentation strategy to handle data scarcity and insufficient data diversity. Data-centric AI/ML development practices, such as data augmentation, can increase the accuracy of machine learning models.

Agentic AINov 26

40+ Agentic AI Use Cases with Real-life Examples in 2026

Autonomous generative AI agents execute complex tasks with little or no human supervision. Agentic AI differs from chatbots and co-pilots. Unlike traditional AI, particularly generative AI, which often requires human intervention in complex workflows, agentic AI aims to autonomously navigate and optimize processes thanks to its decision-making capabilities and goal-directed behavior.

Agentic AINov 26

Open Operator: A Free Alternative to OpenAI's Operator

Early in 2025, OpenAI announced Operator, a new research preview of ChatGPT that serves as an agent for repetitive activities. It can browse for plane tickets, book a table, or shop online, and execute daily digital tasks for you on its own.

AINov 26

ChatGPT Apps SDK Tutorial: Build Custom AI Apps in 2026

Following OpenAI’s introduction of the Apps SDK, we built an app that recommends the best software vendors using AIMultiple’s database. When users ask about agentic AI, CRM, or observability tools, etc., the app searches our articles and returns ranked results.

DataNov 26

Top 3 Prolific Alternatives in 2026

Prolific is a popular AI data collection service that offers a crowdsourcing platform for AI data seekers. Our research identified some drawbacks of working with Prolific from the perspectives of its customers and workers.