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Cem Dilmegani

Cem Dilmegani

Principal Analyst
724 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

Enterprise SoftwareApr 11

Top Python RPA Tools: Robocorp vs. Selenium

RPA is the third-fastest growing area, following process mining and integration platform as a service (iPaaS). Traditionally dominated by .NET, RPA is expanding with Python-based tools, opening new possibilities for Python developers. Explore the leading Python RPA platforms that enable developers to build effective automation solutions.

AIApr 7

Top AI Website Generators Benchmarked

To find the most helpful prompt-to-website creator, we benchmarked the following tools: If you need to learn about no-code AI website generator tools, you can follow the links: Benchmark results We conducted this benchmark using the latest versions of the tools available as of January 2025.

DataApr 4

Top 18 Web Scraping Applications & Use Cases

We have explained what a web crawler is and why web scraping is crucial for companies that rely on data-driven decision-making. Web scraping is important because regardless of industry, the web contains information that can provide actionable insights for businesses to gain an advantage over competitors.

DataApr 4

Web Crawler: What It Is, How It Works & Applications

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

DataApr 4

Web Scraping for Machine Learning: From HTML to ML

~54.7 billion people around the world have been recorded to use the internet, creating 1.7MB of data every second. Crawling this exponentially growing volume of data could provide many opportunities for breakthroughs in data science.

Enterprise SoftwareApr 3

Top 10+ Crypto Domain Name Examples

Crypto Domain Name (DNS) providers are gaining popularity, with over 2 million “.eth” domains already registered in 2025. DNS providers allow users to register and manage domain names linked to blockchain networks. These services also offer tools for utilizing decentralized websites for seamless integrations with Bitcoin wallets.

Enterprise SoftwareApr 3

RPA for Reporting: Guide with 17 Use Cases

Reporting is a vital process in all businesses to gain insights about business finances, growth, employees, and customers. However, reporting is a repetitive and time-consuming task, where 51% of report delivery departments have to deliver the same data several times, and 50% of managers are not satisfied with the speed of delivery.

Enterprise SoftwareApr 3

Top 12 Use Cases of RPA in Hotels & Hospitality Industry

Around 86% of hoteliers were expected to increase their hotel tech investment. RPA in hospitality industry can support such digital transformation initiatives.  According to industry reports, hotels won’t return to pre-COVID financial levels before 2023, if not later. RPA’s capability to automate front office and back office tasks can help the hotel industry navigate such disruptions.

Enterprise SoftwareApr 3

Top 15 Use Cases of RPA in the Automotive Sector

Robotic Process Automation (RPA) streamlines repetitive tasks, freeing employees for strategic work. Widely adopted across industries like education, retail, and manufacturing, RPA is now making significant impacts in automotive. It enhances order management, logistics, production, and telematics, boosting efficiency and precision. See how RPA reshapes automotive workflows: Order processing 1.

AIApr 3

Lazarus AI: Extractive & On-Prem AI for Regulated Industries

Generating insights from unstructured data has long been a strategic aim among organizations that Lazarus AI builds foundation models (e.g. RikAI) to solve complex and urgent problems involving large amounts of unstructured private data. Lazarus is active in these industries: Government (e.g. defense), insurance (e.g. damage assessment of catastrophic events), healthcare, and banking.


Cem Dilmegani | AIMultiple: High Tech Use Cases & Tools to Grow Your Business