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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

AIMar 23

No-Code AI: Benefits, Industries & Key Differences

No-code AI tools allow users to build, train, or deploy AI applications without writing code. These platforms typically rely on drag-and-drop interfaces, natural language prompts, guided setup wizards, or visual workflow builders. This approach lowers the barrier to entry and makes AI development accessible to users without a programming background.

DataMar 19

Automated Data Collection Tools & Use Cases in 2026

Automated data collection uses systems to gather, process, and analyze information efficiently. Since automated data comes from multiple sources in various formats, understanding the different types and their origins is essential to implementing it effectively.

Enterprise SoftwareMar 19

Workload Automation vs RPA: Differences to Know

Workload automation (WLA) and robotic process automation (RPA) are valuable technologies for businesses’ automation infrastructure. Both technologies reduce the number of manual tasks in an organization by automating repetitive processes. Both have benefits such as decreasing human error and cost, increasing efficiency, and creating transparency.

Enterprise SoftwareMar 19

Azure Logic Apps in 2026: 7 Real-Life Use Cases

Businesses face integration challenges across legacy and cloud systems. Azure Logic Apps offers an integrated platform for AI‑driven automation and intelligent orchestration, including multi‑agent workflows and connection to Azure AI services such as the Foundry Agent Service. As Azure Logic Apps offer various services, users may get confused about which one to use and when.

Enterprise SoftwareMar 19

Top 10 Data Center Automation Tools & Case Studies

In this article, we will go over seven innovative data center automation tools.

Enterprise SoftwareMar 19

Top 5 SAP Job Scheduler Alternatives in 2026

We selected the SAP job scheduler alternatives based on the features, pricing, and market presence metrics of leading solutions. Alternatives to SAP’s Job Scheduler Service offer features that enhance integration, scheduling flexibility, and workflow management.

Enterprise SoftwareMar 19

Informatica Scheduling: Features, Limitations & Use Cases

Informatica Scheduling is a workload automation/job scheduling feature within the data management platform Informatica PowerCenter. To help you leverage its capabilities, we explore Informatica Scheduling in detail below, focusing on its key functionalities, comparative advantages, limitations, and practical applications in workload automation.

Enterprise SoftwareMar 19

Compare Top 7 Meter-to-Cash Solutions

Utilities must accurately track energy consumption, generate bills, and collect payments across millions of customers. However, fragmented systems, legacy infrastructure, and complex billing processes can make the meter-to-cash (M2C) cycle inefficient and error-prone.

Enterprise SoftwareMar 19

Oracle Cloud Infrastructure (OCI) Scheduler Features & Alternatives

Compare the top Oracle Cloud Infrastructure (OCI) schedulers ranked by integration capabilities, features, and pricing.

Enterprise SoftwareMar 19

Top 10+ SAP Workload Automation Tools & Use Cases in 2026

According to SAP Corporate Fact Sheet, 99 of the top 100 global organizations use its ERP software, representing 87% of worldwide commerce. Many of these companies also run non‑SAP systems alongside SAP. SAP workload automation tools solve this by automating tasks such as batch jobs, data transfers, report generation, and cross‑system workflows.