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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

CybersecurityJan 22

Top 5 ZTNA Open Source Components in 2026

As businesses move towards remote and hybrid work environments, implementing zero-trust network access (ZTNA) solutions can support businesses’ cybersecurity efforts. ZTNA open-source tools offer a cost-effective way to authorize access at each layer, securing remote access to resources.

AIJan 22

AI Hallucination: Compare top LLMs like GPT-5.2 in 2026

AI models can generate answers that seem plausible but are incorrect or misleading, known as AI hallucinations. 77% of businesses concerned about AI hallucinations.

AIJan 22

Best RAG Tools, Frameworks, and Libraries in 2026

RAG (Retrieval-Augmented Generation) improves LLM responses by adding external data sources. We benchmarked different embedding models and separately tested various chunk sizes to determine what combinations work best for RAG systems. Explore top RAG frameworks and tools, learn what RAG is, how it works, its benefits, and its role in today’s LLM landscape.

Agentic AIJan 22

15 AI Agent Observability Tools: AgentOps & Langfuse [2026]

Observability tools for AI agents, such as Langfuse and Arize, help gather detailed traces (a record of a program or transaction’s execution) and provide dashboards to track metrics in real time.  Many agent frameworks, like LangChain, use the OpenTelemetry standard to share metadata with observability tools.

Agentic AIJan 22

Compare 50+ AI Agent Tools in 2026

We’ve spent the past few months testing AI agents in real-world scenarios – not just reading marketing materials, but actually using these tools to see what works and what doesn’t. Despite the hype around “autonomous AI,” most tools today are co-pilots, not autopilots.

AIJan 22

AGI/Singularity: 8,590 Predictions Analyzed in 2026

Artificial general intelligence (AGI/singularity) occurs when an AI system matches or exceeds human-level cognitive abilities across a broad range of tasks, rather than excelling in a single domain. While many researchers and experts anticipate the near-term arrival of AGI, opinions differ on its speed and development pathway.

AIJan 21

RAG Frameworks in 2026: LangChain, LangGraph vs LlamaIndex

We benchmarked 5 RAG frameworks: LangChain, LangGraph, LlamaIndex, Haystack, and DSPy, by building the same agentic RAG workflow with standardized components: identical models (GPT-4.1-mini), embeddings (BGE-small), retriever (Qdrant), and tools (Tavily web search). This isolates each framework’s true overhead and token efficiency.

Enterprise SoftwareJan 21

Will Pi Network make you rich? No, but it can pay cents/hour

This is an investment related topic so please read our disclaimer regarding investment.

Enterprise SoftwareJan 21

Best Open Source RPA Tools in 2026

Open-source RPA (Robotic Process Automation) can still play an important role in the future of automation. Its main advantages are transparency, flexibility, and the absence of licensing costs. Several open-source RPA tools already exist. Below, we list six notable options and link to their source code.

AIJan 21

GPU Marketplace: Shadeform vs Prime Intellect vs Node AI in 2026

Finding available GPU capacity at reasonable prices has become a critical challenge for AI teams. While major cloud providers like AWS and Google Cloud offer GPU instances, they’re often at capacity or expensive. GPU marketplace aggregators have emerged as an alternative, connecting users to dozens of providers through a single interface.

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