No results found.
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

DataSep 3

7 End-to-End Testing Best Practices

The end user determines the success of the apps, websites, and services that businesses offer. If the end product does not constantly fulfill the changing needs and expectations of the user, no matter how big the developer is, it will fall short.

DataSep 3

10 User Acceptance Testing Best Practices & Challenges

User Acceptance Testing (UAT) is a critical stage in software development. End users test the program to ensure it satisfies their needs and functions as intended in a practical setting before the software release.  Quality Assurance (QA) teams should be aware of the essential best practices to ensure user acceptance testing is carried out successfully.

DataSep 3

Top 10+ Software Testing Best Practices

Detecting software bugs before release is crucial for ensuring project success from user engagement and financial perspectives. The cost of solving bugs in the testing stage is almost seven times cheaper compared to the production stage. However, testing is time-consuming and expensive.

DataSep 3

Test Automation Documentation with Best Practices  

Test automation is vital for ensuring the quality and reliability of applications in software testing and development. Businesses and QA teams are transitioning from manual testing to automation testing as it can: What often goes overlooked is the role of effective documentation in maximizing the benefits of test automation.

Enterprise SoftwareSep 3

XR/AR in Manufacturing: 7 Use Cases with Examples

Extended reality (XR) technologies are increasingly adopted in manufacturing. Utilizing VR/AR technology in the manufacturing sector can provide a $360 billion boost to GDP by 2030. VR/AR solutions are still far from widespread adoption, and business leaders might be unaware of the use cases and benefits of implementing AR/VR in manufacturing operations.

Enterprise SoftwareSep 3

Top 40+ XR/AR Use Cases / Applications with Examples

Extended Reality (XR) is quickly becoming an integral part of the business world, and its market revenue is expected to reach $1.4 trillion by 2030. From virtual training and educational experiences to interactive customer service solutions, XR can help organizations create immersive experiences that increase engagement among consumers and employees on multiple levels.

Enterprise SoftwareSep 3

Quantum Software Development Kits

Quantum Software Development Kit is a tool for developing quantum algorithms that can be used in quantum computers or simulators and emulators. See what quantum SDKs are in detail and what some examples of them are.

Enterprise SoftwareSep 3

Top 14 Types of NFTs

Collectors and NFT enthusiasts buy and trade different types of non-fungible tokens, but what is the difference between different types of NFTs? We explain different NFT types and give examples for each. NFT Market Place Market Overview & Metrics Types of NFTs and Use Cases Art 1.

Enterprise SoftwareSep 3

Types of Virtual Reality & Use Cases

The virtual reality (VR) market has grown significantly, increasing from $6 billion in 2020 to $21 billion in 2025. The COVID-19 pandemic had a notable impact on VR usage, with 71% of users reporting they spent more time using VR during that period. Businesses have also accelerated their adoption of VR technologies.

DataSep 3

Top 5 Low-Code Test Automation Tools

We selected the top low-code test automation tools based on their ability to simplify the testing process, their integrations with low-code platforms. We also considered their test documentation, management, and reporting capabilities. You can follow the links below to see our rationale. Low-code test automation tools are gaining prevalence.