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Cem Dilmegani

Cem Dilmegani

Principal Analyst
573 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

DataNov 10

Synthetic Data vs Real Data: Benefits, Challenges

Synthetic data is widely used across various domains, including machine learning, deep learning, generative AI (GenAI), large language models, and data analytics. According to Gartner, by 2030, synthetic data use will outweigh real data in AI models.

AINov 7

Top 5 Chatbot Companies in India including Gupshup

India’s e-commerce sector shows the highest chatbot adoption rates globally. But with hundreds of vendors claiming to be “the best,” how do you actually choose? We analyzed India-based chatbot companies using public business data reviews, employee count, local presence, and documented results with Indian clients.

CybersecurityNov 7

Top 10 Network Security Policy Management Solutions ['26]

I have identified the top 10 NSPM solutions based on my & other users’ experiences and vendor features.

CybersecurityNov 6

Top 10 Application Security Tools: Features & Pricing [2026]

Application breaches represent 25% of all security incidents.. Based on our extensive research and technical reviewers’ experience, we selected the top 10 application security tools. Within each vendor’s section, we outlined our rationale for our selection.

AINov 6

IBM reshaping Watson for transforming its AI business ['26]

Thomas J. Watson Sr. joins Computing-Tabulating-Recording Company (CTR) in 1914 and over the next two decades transforms it into a growing leader in innovation and technology. He built a worldwide industry; it is called to International Business Machines Corporation (IBM) in 1924.

AINov 5

Chatbot Intent Recognition & 5 Intent Examples in 2026

Your chatbot misunderstands half of what customers ask. Not because the technology is bad, but because intent recognition, figuring out what users actually want, is harder than vendors admit. When bots misinterpret intent, customers repeat themselves, abandon purchases, and switch to competitors. Fix intent recognition and you fix your bot’s biggest problem.

DataNov 2

Top 5 Open Source Database Monitoring Tools in 2026

Commercial database monitoring tools often promise polished user interfaces and dedicated enterprise support. Open-source solutions are increasingly chosen for their transparency, cost-effectiveness, community-driven innovation, and flexibility. We’ve analyzed both approaches to understand the current landscape.

Agentic AIOct 31

Compare Best AI Agents in Customer Service in 2026

AI agents powered by large language models (LLMs) can respond to customer queries in natural language, interpret context, and generate human-like responses. These agents can process and synthesize large volumes of information from sources such as knowledge bases. We compiled a list of the best use cases for the top 4 customer service AI agents.

AIOct 31

Top 40 Chatbot Applications with Examples in 2026

Most companies use chatbots wrong. They slap a bot on their website, watch it frustrate customers, then wonder why adoption stays low. The reality: chatbots work brilliantly for specific tasks and fail miserably at others. A recent survey found 60% of U.S. consumers appreciate 24/7 availability, while 45% just want faster answers.

AIOct 31

Cloud GPUs for Deep Learning: Availability& Price / Performance

If you are flexible about the GPU model, identify the most cost-effective cloud GPU based on our benchmark of 10 GPU models in image and text generation & finetuning scenarios. If you prefer a specific model (e.g. A100), identify the lowest-cost GPU cloud provider offering it.