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Cem Dilmegani

Cem Dilmegani

Principal Analyst
706 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, automation, cybersecurity (including network security, application security), data collection including web data collection and process intelligence.

Cem's hands-on enterprise software experience contributes to his work. Other AIMultiple industry analysts and 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

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 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.

AIAug 19

Top 35+ Generative AI Tools by Popularity & Category

At AIMultiple, we constantly use generative AI technologies: We built dozens of custom GPTs and benchmarked the latest AI tools such as AI agents, cloud GPUs, and e-commerce AI video generators.

AISep 15

Top 122 Generative AI Applications & Real-Life Examples

Based on our analysis of 30+ case studies and 10 benchmarks, where we tested and compared over 40 products, we identified 120 generative AI use cases across the following categories: For other applications of AI for requests where there is a single correct answer (e.g. prediction or classification), check out AI applications.

DataSep 16

20+ Online Survey Statistics from Reputable Sources

Online surveying helps companies understand the trends in the market and customers’ needs. That’s why understanding its scope is crucial in implementing it in your research practices.

DataJul 25

Top 5 MTurk Survey Participant Recruitment Alternatives

Recruiting participants for consumer or market research can be challenging. Crowdsourcing platforms like Amazon MTurk make it easier to find survey respondents and get quick results. However, potential drawbacks, such as response reliability and data quality, can impact the results.

Enterprise SoftwareSep 8

GraphQL vs. REST: Top 4 Advantages & Disadvantages

API architecture decisions have a significant impact on application performance, developer experience, and long-term maintainability. Two dominant approaches have emerged: REST (Representational State Transfer) and GraphQL, each offering distinct advantages for different use cases.

DataJul 25

Automated Data Collection Tools & Use Cases

Automated data collection involves using automated systems to gather, process, and analyze information efficiently. Since automated data is produced from multiple sources and comes in various formats, understanding the different types of data and their origins is crucial for effectively implementing data automation.

Enterprise SoftwareAug 21

State of RPA vs RDA: 4 Main Differences

People might confuse RPA with RDA – perhaps that’s why “RPA vs RDA” is one of the most searched queries on Google (Figure 1). And while these two automation tools have similar-sounding names, and share certain similar properties, they are not the same thing.

Enterprise SoftwareSep 28

Top 10 Data Center Automation Tools & Case Studies

In this article, we will go over seven innovative data center automation tools.

Enterprise SoftwareApr 4

API Regression Testing: Importance & Challenges

Software testers and developers use regression testing to create efficient software programs. Research on the challenges of regression testing shows that it accounts for 80% of the total testing cost, while software testing constitutes 50–60% of the total cost of a project.