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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

DataSep 17

Machine Learning in Data Integration: 8 Use Cases & Challenges

Integrating and analyzing data from disparate sources effectively has become paramount. Data integration often presents challenges, ranging from managing AI data quality to ensuring security. As organizations grapple with these obstacles, Artificial Intelligence (AI) and Machine Learning (ML) are emerging as transformative technologies, offering innovative solutions to simplify and enhance data integration processes.

DataSep 17

Data Transformation: Challenges & Real-life examples

Data is the cornerstone in many sectors, underpinning decision-making processes in business, government, health, and more. The advent of generative AI has heightened the importance of data and its various applications. Organizations must understand and proficiently implement data transformation processes to unlock the full potential of it.

DataSep 17

Python Yellow Page Scraper: How to scrape Yellow Pages

Yellow pages provide easy access to a variety of services/businesses, which may not all show up in your Google search. Search engines report results based on relevance to the search term, whereas online yellow pages show results based on geographic areas.

DataSep 17

Web Scraping for Recruiters: Top Tools & Techniques

Bright Data’s Data collector automatically extracts publicly available data from LinkedIn for recruiters.

Agentic AISep 16

The Industrial AI Agent Landscape: 30+ Platforms to Watch

Industrial AI agents address the limitations of siloed data by autonomously integrating and deriving actionable insights from IoT, controls systems (e.g. SCADA), and connected assets.

AISep 16

Top 15 Use Cases in AI for Neurology with Examples

Neurological disorders are among the most complex and costly to diagnose and manage, contributing billions in global healthcare expenditures each year.

AISep 16

Top 10 SEO AI Use Cases with Case Studies

Competing for visibility in search results has become increasingly difficult as algorithms evolve and user expectations rise. Traditional SEO methods, reliant on manual research and incremental updates, often fail to keep pace with these changes. AI-powered SEO tools address this challenge by automating complex tasks and aligning content more precisely with user intent.

Enterprise SoftwareSep 16

Robotic Process Automation (RPA) in Aviation

The aviation sector, as a whole, can gain from the adoption of RPA tools in areas including airport administration, ticket sales, and aircraft navigation. The aviation industry is ripe for automation thanks to the never-ending flow of data that could be turned into actionable insight.

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.

AISep 15

Top 7 AI Avatar Generation Tools

When choosing the right AI avatar generation tool, businesses can take into account the following components: Top 7 AI avatar generation tools The table above is sorted based on the number of reviews. Sources: For more on prices, check the pricing comparison.