Contact Us
No results found.
Cem Dilmegani

Cem Dilmegani

Principal Analyst
360 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

CybersecurityMar 4

Top 28 Network Security Audit Tools

Network security audit tools provide real-time insights into a network’s security by scanning tools across the environment and alerting administrators to emerging threats, vulnerabilities, or new patches. Given the broad scope of their functions, these tools vary significantly.

AIMar 3

AP AI Applications & Tools for Accounts Payable Processes

Manual accounts payable processes are often slowed down by preventable issues such as fraud exposure, data entry mistakes, delayed approvals, and limited visibility into spending. AI-driven AP solutions address these pain points by automating routine tasks, improving accuracy, and creating clearer oversight across the payment cycle.

Enterprise SoftwareMar 3

Top 10+ Network Observability Tools

Network observability gives organizations visibility into network performance, enabling faster identification and resolution of infrastructure issues. Tools in this category increasingly use AI to automate anomaly detection across traffic and device health. Top 8 network observability tools * Reviews are based on Capterra and G2.

DataMar 3

Web Scraping for Recruiters: Top Tools & Techniques

Bright Data’s Data collector automatically extracts publicly available data from LinkedIn for recruiters.

DataMar 3

Top 15 Data Collection Services

Whether you need human-collected datasets, large-scale web data, or market insights, explore the options below to find the right data source for your project. Top 15 AI data collection services Despite the efficiency of web data collection and synthetic data generation, human-generated data remains essential for AI development.

AIMar 3

GPT-5: Best Features, Pricing & Accessibility

We have GPT-5.2, the latest and one of the most advanced language models. GPT-4 vs. GPT-5 The interactive comparison below shows how GPT-5 differs from GPT-4 across architecture, performance, and pricing.

Enterprise SoftwareMar 3

Mobile Device Management Pricing Comparison: 10+ Products

Understanding pricing structures and other aspects of Mobile Device Management (MDM) software is necessary to make wise decisions. Pricing models vary significantly some vendors charge per device, others per user, and a few bundle MDM into broader platform subscriptions. See how Mobile Device Management pricing is structured and compare MDM products.

AIMar 3

Top 7 Speech Recognition Challenges & Solutions

Speech recognition systems (SRS) power voice assistants, transcription tools, and customer service automation. Although speech recognition improves efficiency and user experience, choosing the right solution is challenging. Key questions include its accuracy in noisy settings, ability to handle specialized terms and accents, balance between speed and reliability, and approach to privacy and hallucination risks.

AIMar 3

Top 7 Open-Source Vector Databases: Faiss vs. Chroma

As AI Agents and models increasingly rely on high-dimensional data retrieval, selecting an open-source vector database becomes critical for enterprise deployment.

DataMar 3

No-Code Financial Data Scraping: Tools & Compliance Tips

While official financial data providers do offer APIs, these are often limited in scope, access, or flexibility for real-time or niche data needs.