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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

DataFeb 27

Top 5 Octoparse Alternatives & Competitors

As a non-technical user, I kick-started AIMultiple’s data collection efforts with Octoparse. However, our requirements expanded over time, and we moved to more scalable services, listed below: Octoparse alternatives pricing comparison Octoparse is a no-code web scraping tool with a visual, point-and-click interface that simplifies the web scraping process.

Enterprise SoftwareFeb 27

10 eCommerce Data Collection Best Practices & Examples

As online shopping grows and customer expectations shift, eCommerce businesses face increasing pressure to stay competitive. Real-world data is key to making faster, smarter decisions. Failing to collect and utilize data properly can result in missed sales, inefficient operations, and poor customer retention.

AIFeb 27

Top 12 SEO AI Use Cases with Case Studies

As algorithms change and consumer expectations rise, it has become more challenging to compete for accessibility in search results. Conventional SEO techniques, which depend on manual research and minor updates, frequently fall behind these developments. AI-powered SEO tools address this challenge by automating complex tasks and aligning content more precisely with user intent.

Enterprise SoftwareFeb 27

AutoSys: Key Features and User Insights

Interest in Broadcom’s AutoSys is declining (Source: Google Trends) and it has a lower average rating on review platforms compared to most other workload automation tools.

AIFeb 27

Top 7 Open Source AI Coding Agents

In prior evaluations, we benchmarked both open-source and proprietary Agentic CLIs, focusing on their performance in web development tasks, and some open-source agents performed as successfully as the paid options. Therefore, we also listed the top open source coding agents for users with privacy concerns.

Enterprise SoftwareFeb 27

Compare 13 AI Help Desk Tools

AI help desk software automates tasks such as answering common questions, routing tickets, and assisting agents with suggested responses. Businesses use it to improve efficiency, lower support costs, and deliver a better overall customer experience. We reviewed the top 13 AI help desks, including Zendesk Support Suite and Tidio.

CybersecurityFeb 27

Top 10 Microsoft Purview Alternatives

Though Microsoft Purview is a popular DLP software, it can be hard to use and provides limited policy customization options. We analyzed the top 6 DLP products across four dimensions to identify the top Microsoft Purview alternatives.

CybersecurityFeb 26

Top 10 Open source / Free DAST Tools Compared

We relied on our research on vulnerability scanning tools and DAST to select leading open-source DAST tools and free versions of proprietary DAST software. See our rationale by following the links on product names: As the cost and frequency of cyberattacks increase, businesses are increasingly adopting DAST tools to enhance their security posture.

AIFeb 26

Chatbot vs ChatGPT: Differences & Features

When people search “chatbot vs ChatGPT,” they’re asking if ChatGPT is fundamentally different from traditional chatbots. It is. Calling ChatGPT a chatbot is like calling a smartphone just a phone, technically accurate but missing critical distinctions. Let’s clear up what separates traditional chatbots from ChatGPT, and why it matters for anyone choosing between them.

DataFeb 26

2026 Web Crawler Guide: From Indexing to Agentic Intelligence

Have you ever wondered how search engines such as Google and Bing collect all the data they present in their search results? Search engines index all the pages in their archives so they can return the most relevant results for queries. Web crawlers enable search engines to handle this process.