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Cem Dilmegani

Cem Dilmegani

Principal Analyst
573 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

Enterprise SoftwareDec 4

Top 7+ Hybrid Cloud Job Schedulers in 2026

Enterprises should leverage both the cloud and on‑premises systems to meet diverse data-storage and compute requirements. AIMultiple presents seven workload automation solutions for cloud automation, each distinguished by their specific functionalities and benefits. Follow the links on the vendors for our rationale. *Ratings are based on B2B user review platforms.

AIDec 4

AI Adoption in Manufacturing: Insights from 100 Companies

Our analysis of the top 100 manufacturing companies by revenue from the Forbes Global 2000, spanning automotive, industrial equipment, chemicals, consumer electronics, and more across 15 countries, reveals two clear patterns in how manufacturers approach artificial intelligence. We evaluated three key metrics across all 100 companies: AI partnerships, open-source contributions, and AI initiative outputs.

AIDec 4

20 Strategies for AI Improvement & Examples

AI models require continuous improvement as data, user behavior, and real-world conditions evolve. Even well-performing models can drift over time when the patterns they learned no longer match current inputs, leading to reduced accuracy and unreliable predictions.

CybersecurityDec 3

AI IPS: 6 Real-life Use Cases & Leading Tools in 2026

AI intrusion prevention systems (IPS) use machine learning algorithms and behavioral analytics to detect and prevent several cyber threats. These systems integrate AI with traditional IPS technologies, improving their ability to detect and mitigate attacks in real time. AI IPS can: 1.

Enterprise SoftwareDec 3

7 Ways SAP Job Scheduling Optimizes IT Operations ['26]

Enterprise automation plays a key role in business digitalization. Enterprise Resource Planning (ERP) systems, including SAP, the largest ERP by sales, are at the center of most enterprises’ businesses and are involved in numerous processes.

AIDec 3

AI Chips: A Guide to Cost-efficient AI Training & Inference

In the past decade, machine learning, particularly deep neural networks, has been pivotal in the rise of commercial AI applications. Significant advancements in the computational power of modern hardware enabled the successful implementation of deep neural networks in the early 2010s.

CybersecurityDec 3

Top 15 UEBA Use Cases for Today's SOCs in 2026

Traditional measures such as web gateways, firewalls, IPS tools, and VPNs are no longer sufficient to keep corporate systems secure from modern cyber attacks. UEBA systems help detect modern threats by enhancing the context and quality of security alerts by monitoring non-user entities (e.g., servers) and leveraging machine learning.

CybersecurityDec 3

Top 8 SIEM Use Cases and Real-life Examples  in 2026

We previously explained open source & commercial SIEM tools, including how to select the best solution.

CybersecurityDec 3

Multi-Factor Authentication (MFA) Pricing and Plans in 2026

Listed MFA pricing and plans vary based on several factors, which increase 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.

CybersecurityDec 3

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.