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Cem Dilmegani

Cem Dilmegani

Principal Analyst
712 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

AIAug 13

AI in HR: Steps & Use cases with Real-Life Examples

Artificial intelligent (AI) usage in human resources (HR) has emerged as a game-changer by enhancing efficiency and reducing the risk of overlooking qualified candidates, where the average initial résumé screening time is just 7.4 seconds.

Agentic AIOct 18

Top 4 AI Search Engines Compared

Searching with LLMs has become a major alternative to Google search. We benchmarked the following AI search engines to see which one provides the most correct results: Benchmark results Deepseek is the leader of this benchmark, by correctly providing 57% of the data in our ground truth dataset.

CybersecurityJul 25

Top 10+ Multi-Factor Authentication (MFA) Use Cases

Our research on multi-factor authentication (MFA) solutions shows how effective the leading software are in adaptive authentication, biometric authentication (Fingerprint/Face ID), and push notifications.

CybersecurityJul 25

10+ MFA Examples: Types, Methods & Best Use Cases

Our research on multi-factor authentication (MFA) solutions highlights various adaptive authentication methods (e.g., offline authentication) offered by leading software providers. To highlight how companies like Apple, PayPal, and Google use these methods, we provided 10+ real-life MFA examples of authentication types and methods: Read more: Multi-factor authentication (MFA) pricing and plans, MFA use cases.

CybersecurityOct 23

Best 8 Identity and Access Management Solutions

Effectively managing user access should not pose a continual security risk, yet many IT teams face ongoing challenges. Issues such as weak passwords, the presence of abandoned accounts, and the complexity of managing multiple authentication methods across both cloud and on-premises systems often complicate security management.

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.

CybersecurityMay 29

Compare 10 Open Source MFA Tools

When starting your free and open source multi-factor authentication (MFA) implementation, consider: Features of open source MFA solutions → All tools (except LLDAP) offer compatibility with hardware tokens (e.g., YubiKey) and FIDO2 / WebAuthN passwordless API authentication protocol. FIDO2 does not use shared secrets, like passwords, it minimizes vulnerabilities associated with data breaches.

AIAug 27

World Foundation Models: 10 Use Cases & Examples

Training robots and autonomous vehicles (AVs) in the physical world can be costly, time-consuming, and risky. World Foundation Models offer a scalable alternative by enabling realistic simulations of real-world environments. These models accelerate development and deployment in robotics, AVs, and other domains by reducing reliance on physical testing.

CybersecurityOct 14

Multi-Factor Authentication (MFA) Pricing and Plans

Listed MFA pricing and plans vary based on several factors, which increases the costs: *$1,500 annual contract minimum.  How to select the right MFA plan? An MFA solution that is sufficient for individual usage may not be suitable for a large enterprise with several customers, partners, and business consumers.

AISep 29

AGI Benchmark: Can AI Generate Economic Value

AI will have its greatest impact when AI systems start to create economic value autonomously. We benchmarked whether frontier models can generate economic value. We prompted them to build a new digital application (e.g., website or mobile app) that can be monetized with a SaaS or advertising-based model.