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Cem Dilmegani

Cem Dilmegani

Principal Analyst
359 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 25

Why Cybersecurity in Sports Is More Important Than Ever

At least 70% of sports organizations have experienced cyber incidents or breaches. With cybercriminals targeting: We explore the unique cybersecurity risks facing the sports industry and examine the strategies sports organizations can employ to protect themselves and their stakeholders from cyber threats.

CybersecurityMar 25

Top 10 Free USB Blocking Software

Data loss prevention software uses USB blocking to prevent data breaches by blocking data exfiltration via USB drives and other removable storage devices. Control over peripheral devices, such as USBs, includes whitelisting and blacklisting, authorizing read-only access, and enforcing predefined policy rules.

Agentic AIMar 25

40+ Agentic AI Use Cases with Real-life Examples

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.

Enterprise SoftwareMar 24

IT Documentation Benchmark & Review

We evaluated the leading IT documentation platforms to assess their performance, features, and usability. Our benchmark measured document creation workflows, editor capabilities, search accuracy, and relationship management across real-world scenarios, including error code searches, PDF content indexing, and command syntax preservation. Benchmark findings *NinjaOne auto-saves drafts but doesn’t display them separately.

CybersecurityMar 24

Top 14 Intrusion Detection and Prevention Tools in 2026

At its core, intrusion detection and prevention systems (IDPS) monitor networks for threats, alert administrators, and prevent potential attacks. We previously explained real-life use cases of AI IPS solutions.

Agentic AIMar 24

Multi-Agent Frameworks Benchmark: Challenges & Strengths

Multi-agent systems use specialized agents working together to solve complex tasks. A key challenge: does performance degrade as more agents and tools are added, or can orchestration mechanisms handle the growing complexity efficiently? We benchmarked 5 agentic frameworks across 750 runs with three tasks.

Enterprise SoftwareMar 24

Top 7 WAN Monitoring Software

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 7 WAN Monitoring Software 1.

Enterprise SoftwareMar 23

WLA Migration in 2026: Best Practices & Vendor Approaches

Explore workload automation (WLA) migration, best practices, what to pay attention to, and the differing approaches from different vendors. What is WLA migration? WLA (Workload Automation) migration is the process of moving an organization’s job scheduling and automation workflows from one workload automation solution or scheduler to another.

Enterprise SoftwareMar 23

Top 7+ Hybrid Cloud Job Schedulers in 2026

Enterprises should leverage both the cloud and on‑premises systems to meet diverse data-storage and compute requirements. Explore seven workload automation solutions for cloud automation and follow the links on the vendors for our rationale. *Ratings are based on B2B user review platforms.

AIMar 23

RAG Evaluation Tools: Weights & Biases vs Ragas vs DeepEval

When a RAG pipeline retrieves the wrong context, the LLM confidently generates the wrong answer. Context relevance scorers are the primary defense. We benchmarked five tools across 1,460 questions and 14,600+ scored contexts under identical conditions: same judge model (GPT-4o), default configurations, and no custom prompts.