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Cem Dilmegani

Cem Dilmegani

Principal Analyst
359 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 SoftwareMar 19

Workload Automation Security in 2026: Best Practices & Examples

Businesses must secure workload automation at every level. The following sections outline key risks, best practices for securing automation environments, and real-world examples that highlight the importance of robust security.

Enterprise SoftwareMar 19

XR/AR in Manufacturing in 2026: 7 Real-Life Use Cases

Recent industry research shows that XR device shipments (e.g. lightweight AR or smart glasses for industrial use) grew over 40 % year‑over‑year in 2025. With adoption accelerating, XR technologies are increasingly helping manufacturers improve efficiency, safety, and collaboration. Explore the top 7 use cases of XR/AR in manufacturing with real-world examples.

Enterprise SoftwareMar 19

7 Ways SAP Job Scheduling Optimizes IT Operations

SAP environments are increasingly built on SAP S/4HANA and extended via SAP Business Technology Platform (BTP), shifting job scheduling from on-premise background processing to hybrid and cloud-native orchestration. This complexity requires SAP job schedulers to manage SAP workloads, APIs, event streams and external cloud services in real-time.

Enterprise SoftwareMar 19

Compare 7 Python Job Scheduling Methods

Python job scheduling enables you to execute tasks automatically at specific times or intervals, thereby reducing manual effort and enhancing reliability. Here are the various job scheduling methods in Python, ranging from simple to advanced solutions, along with their advantages and disadvantages: Top Python Job Scheduling Methods 1.

Enterprise SoftwareMar 19

15+ Use Cases & AI Applications of Augmented Reality

Augmented Reality (AR) is a digital media platform that allows the user to integrate virtual context into the physical environment in an interactive, multidimensional way. Implementing AI enhances the AR experience by allowing deep neural networks to replace traditional computer vision approaches, and add new features such as object detection, text analysis, and scene labeling.

Enterprise SoftwareMar 19

Cloud Inference: 3 Powerful Reasons to Use

Deep learning models achieve high accuracy in tasks like speech recognition and image classification, often surpassing human performance. However, they require large training datasets and significant computational power. Cloud inference provides a scalable solution to handle these demands efficiently. Explore cloud inference, compare it to on-device inference, and highlight its benefits and challenges.

Enterprise SoftwareMar 19

Top 4 Cost-Effective RPA Tools

Operational costs can deter, especially smaller organizations, from investing in RPA and missing out on automation benefits. These costs include licenses for RPA software, RPA programming, and RPA tools.

Enterprise SoftwareMar 19

Top 12 Workload Automation Tools of 2026: Vendor Benchmark

We compare 7 workload automation tools. In our screening, we used three criteria. 100+ employee size on LinkedIn, 3M+ funding or revenue and reference from a Fortune 500 company.

Enterprise SoftwareMar 19

Top 12 Patch Management Software Including NinjaOne

Unpatched systems are low-hanging fruit for attackers. A single outdated server or forgotten workstation becomes an entry point. Patch management software automates the process of finding, testing, and deploying updates before vulnerabilities turn into breaches.

Enterprise SoftwareMar 19

Top 12 RMM Software Tested: Features and Pricing

RMM software components keep business devices secure and efficient, thanks to features like patch management. We benchmarked the top 3 RMM platforms (NinjaOne, ManageEngine, and Acronis) by deploying them to seven servers across six AWS regions. We analyzed how they handle agent deployment and monitoring from scratch.

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