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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

CybersecurityFeb 20

Top 14 Network Planning Tools: Key features & Benefits

Network planning tools help businesses optimize performance, manage resources efficiently, and ensure scalable, reliable network designs for growth and stability.

AIFeb 20

Top 50 Deep Learning Use Case & Case Studies

Deep learning uses artificial neural networks to learn from data. When trained on large, high-quality datasets, it achieves high accuracy, making it valuable wherever you have abundant data and need accurate predictions. Below are real deep learning applications across industries and business functions, with concrete examples.

Enterprise SoftwareFeb 20

Top 5 SAP Job Scheduler Alternatives in 2026

We selected the SAP job scheduler alternatives based on the features, pricing, and market presence metrics of leading solutions. Alternatives to SAP’s Job Scheduler Service offer features that enhance integration, scheduling flexibility, and workflow management.

DataFeb 20

Federated Learning: 7 Use Cases & Examples

According to recent McKinsey analyses, the most pressing risks of AI adoption include model hallucinations, data provenance and authenticity, regulatory non-compliance, and AI supply chain vulnerabilities. Federated learning (FL) has emerged as a foundational technique for organizations seeking to mitigate these risks.

AIFeb 20

Top 5 Facial Recognition Challenges & Solutions

Facial recognition is now part of everyday life, from unlocking phones to verifying identities in public spaces. Its reach continues to grow, bringing both convenience and new possibilities. However, this expansion also raises concerns about accuracy, privacy, and fairness that need careful attention.

AIFeb 20

20 Strategies for AI Improvement & Examples

AI models require continuous improvement as data, user behavior, and real-world conditions evolve. Even well-performing models can drift over time when the patterns they learned no longer match current inputs, leading to reduced accuracy and unreliable predictions.

Enterprise SoftwareFeb 19

Top 10 Enterprise Job Scheduler Software

AIMultiple vetted top job scheduling software based on the features, pricing, and market presence metrics of leading solutions. Follow the links below to see our rationale for each selection: Enterprise job scheduling software market leaders **Score is based on B2B review platforms.

CybersecurityFeb 19

Top 10 Mobile DLP Best Practices & Case Studies

As remote work and mobile device usage continue to increase, protecting sensitive data on mobile platforms has become a top priority for organizations. Mobile devices often present vulnerabilities for DLP software due to their portability, access to cloud systems, and various apps (Figure 1).

Enterprise SoftwareFeb 19

Top 5 MOVEit Alternatives in 2026

We reviewed the leading alternatives to MOVEit in the secure file transfer market, looking at protocol support, verified product capabilities, and user reviews. MOVEit alternatives’ comparison * Ratings are based on Capterra, Gartner, and G2. The vendors are listed according to their reviews.

Enterprise SoftwareFeb 19

Top 6 JAMS Scheduler Alternatives in 2026

Based on our analysis of 10+ WLA software, we chose the top JAMS Scheduler alternatives. Click the links to see each vendor’s section, where we explain our rationale behind this selection: Comparison of JAMS and Top 6 Alternatives JAMS Scheduler is a workload orchestration tool that manages jobs and tasks across platforms and systems.

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