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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

Enterprise SoftwareSep 29

Oracle Cloud Infrastructure (OCI) Scheduler Features & Alternatives

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

Enterprise SoftwareSep 29

Top 6 Alternatives to Fortra's JAMS

Based on our analysis of 20+ WLA software, we chose the top alternatives to Fortra’s JAMS. You can click the links to see each vendor’s section, where we explain our rationale behind this selection: Fortra’s JAMS Scheduler is a prominent workload automation tool that manages jobs and tasks across platforms and systems.

Enterprise SoftwareSep 29

Top Alternatives to Dollar Universe Workload Automation

We selected the top alternatives to Dollar Universe based on their popularity, ratings on B2B review platforms, features, scalability, ease of use, and ability to integrate with diverse IT environments, follow the links on the solutions to see our rationale: Broadcom’s Dollar Universe Workload Automation is an early IT operations and workload automation solution.

Enterprise SoftwareSep 29

JDE Scheduler: Pros, Cons & Top 5 Alternatives

The scheduling component of JD Edwards EnterpriseOne, often referred to as “JDE Scheduler,” has long been a reliable task manager. However, as modern infrastructure requirements have changed, so too have the options for task scheduling.  We selected the top alternatives based on the features, pricing, and market presence metrics of leading solutions.

AISep 29

Dynamic Pricing Algorithms: Top 3 Models

Dynamic pricing is a method used by business leaders, such as Amazon and Airbnb, to optimize their pricing strategy according to market and consumer data in order to attract more customers and increase profit. In this article, we explore the algorithms underlying dynamic pricing and how to choose the most suitable one for your business.

Enterprise SoftwareSep 29

7 Competitive Intelligence Challenges & Solutions

In the current competitive business environment, maintaining an edge over rivals has become essential for strategic decision-making. Despite its critical importance, most organizations struggle with competitive intelligence. Research shows that 90% of Fortune 500 companies already use Competitive Intelligence, but its perceived effectiveness is low.

Enterprise SoftwareSep 29

Axway MFT: A Comprehensive Guide

Managed File Transfer (MFT) plays a vital role within the file transfer solutions, catering to the secure and efficient movement of data across systems, crucial for businesses needing dependable, secure, and regulation-compliant data workflows. As business complexities and integration demands grow traditional protocols like FTP and HTTP fall short of current enterprise requirements.

Enterprise SoftwareSep 29

Top 6 AS2 Software

Choosing the most cost-effective AS2 software can be challenging given the many options available. To assist, we’ve compiled a list of top managed file transfer tools that support AS2: What are our criteria for choosing the top As2 Software?  Jscape MFT JSCAPE MFT Server supports AS2 file transfers, ensuring secure and standardized B2B data exchange.

Enterprise SoftwareSep 28

Top 10 Data Center Automation Tools & Case Studies

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

DataSep 27

Machine Learning in Test Automation: Benefits & Real Examples

Businesses aim to switch to automated testing because it provides faster and more efficient outcomes than manual testing. While test automation tools are valuable assets in achieving this, using Machine Learning (ML) in test automation tools enhances the QA experience considerably. The implementation of ML is gaining pace.