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Cem Dilmegani

Cem Dilmegani

Principal Analyst
687 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

10+ Image Data Collection Services in 2026

As artificial intelligence (AI) and machine learning-powered solutions grow, the demand for comprehensive image datasets has never increased. The foundation of a successful AI model, especially in computer vision (CV) projects, is reliant upon high-quality data. Image data collection services play an instrumental role in gathering this crucial data.

DataSep 3

Top 20 Analytics Case Studies in 2026

Although the potential of Big Data and business intelligence are recognized by organizations, Gartner analyst Nick Heudecker says that the failure rate of analytics projects is close to 85%. Uncovering the power of analytics improves business operations, reduces costs, enhances decision-making, and enables the launching of more personalized products.

Enterprise SoftwareSep 3

Top 6 Insurance IoT Use Cases in 2026

The rapid growth of IoT is transforming the insurance industry by enabling continuous monitoring, which could prevent risks and reduce the need for traditional insurance. However, it also introduces challenges like cyber threats, making cyber risk insurance a potential focus. Since insurance relies heavily on data, IoT’s ability to increase data availability offers efficiency benefits.

Enterprise SoftwareSep 2

Top 30+ Cloud Cost Management Tools: Focus & Pricing

Cloud spending is often one of the fastest-growing costs for modern businesses. However, more than 80% of organizations consider managing cloud costs their top challenge. We provide concise comparisons and actionable information to make evaluating and selecting the right cloud cost management tools faster and easier for your organization.

AISep 2

Top 32 ChatGPT Automation Use Cases in 2026

Over the last two decades, we’ve helped companies deploy advanced analytics, mainly for automation. The solutions then prevailing were robust in some contexts, but they were not able to respond to change. Since it is a GenAI tool, ChatGPT is flexible and can serve as an enterprise employee copilot.

AISep 2

Top 10 Vector Database Use Cases in 2026

Processing, storing, and retrieving vast amounts of information rapidly and efficiently is paramount for businesses. Vector databases are a critical emerging technology in addressing this demand. Unlike traditional databases, vector databases focus on high-dimensional vector data, offering unique advantages for certain use cases.

AISep 2

Top 20 ChatGPT in Marketing Use Cases in 2026

The share of artificial intelligence in the marketing industry is rapidly increasing (see Figure 1). However, the use of relatively new tools, such as generative AI and, in particular, ChatGPT in marketing is not widely known.

Enterprise SoftwareSep 2

Python RPA Library: Top 7 Vendors in 2026

Python is a top language for automating tasks (RPA), used by big companies like Google and Spotify. Its RPA libraries are often free, but they need coding skills. What are the leading Python RPA libraries? *The table is sorted from highest to lowest by the number of GitHub stars. 1.

Enterprise SoftwareSep 2

Top 16 Use Cases of RPA in Education in 2026

RPA uses software robots to automate time-consuming, repetitive tasks, freeing employees from manual, mundane tasks and allowing them to focus on more strategic activities. Their benefit to us is a lower workload and higher process execution accuracy. These benefits make RPA particularly suitable for educational institutions.

Enterprise SoftwareSep 2

RPA Market Size and Popular Vendors in 2026

Robotic Process Automation (RPA) first emerged in the early 2000s, with UiPath, Blue Prism, and Automation Anywhere releasing their products and libraries around 2003. RPA started as a way to reduce outsourcing costs, with business leaders finding new revenues to automate in each industry, such as finance, healthcare, and HR.