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Cem Dilmegani

Cem Dilmegani

Principal Analyst
285 Articles
Stay up-to-date on B2B Tech
Cem has been the principal analyst at AIMultiple since 2017.

Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, and Washington Post, global firms like Deloitte and 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 enterprise AI and software.

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 Software
Open World Evaluation
Aug 19

Best Database Performance Monitoring Tools: Top 5 Platforms Compared

Database issues cause application failures: A memory spike crashes your server, and a slow query times out user requests. We analyzed six database monitoring platforms and benchmarked three of them extensively on MySQL and MongoDB by installing them from scratch, running identical workloads, and documenting every step of the setup and monitoring experience. The results…

Enterprise Software
Insight
Aug 19

Top 20 RPA SAP Use Cases & Examples

SAP is one of the oldest and most valuable ERP systems. Though an ERP suite automates many areas, most SAP processes remain manual and repetitive, including accounting, transaction management, and reporting. This makes RPA a great candidate for automating SAP and redirecting resources to higher-value activities and processes. Explore top 20 RPA SAP use cases…

AI
Insight
Aug 19

ChatGPT for Customer Service: Top 10 Use Cases

ChatGPT has moved from novelty to infrastructure in customer service. Companies are using it to cut response times, handle volume their teams can’t absorb, and reduce the cost of routine interactions. But results vary sharply depending on how it’s implemented. OpenAI launched GPT-5.6, a materially more capable model that is better at instruction-following, reasoning across…

Enterprise Software
Feature Comparison
Aug 16

Linux Job Scheduler: Review, Guide & Alternatives

Linux job scheduler and ‘cron,’ a time-based job scheduler, are common job scheduling tools. If you: * Linux Completely Fair Scheduler (CFS) ** Enterprise job schedulers include Stonebranch, ActiveBatch, RunMyJobs & JAMS Scheduler. A Linux job scheduler is a tool used in Linux systems for automating routine tasks and job scheduling without manual intervention. It…

Enterprise Software
Feature Comparison
Aug 16

Top 6 JAMS Scheduler Alternatives

Based on our analysis of 10+ WLA software, we chose the top JAMS Scheduler alternatives. Click the links to see JAMS Scheduler alternatives’ benefits and case studies: JAMS Scheduler is a workload orchestration tool that manages jobs and tasks across platforms and systems. However, when considering alternatives, it’s important to consider its drawbacks, such as…

Enterprise Software
Feature Comparison
Aug 14

Network Monitoring Service Pricing Comparison

Network monitoring service pricing is shaped by several factors: how many devices you’re monitoring, what protocols and integrations you need, and whether you’re deploying on-premises or in the cloud. The five services below use different billing units, sensors, hosts, resources, or technicians, which makes direct price comparisons harder than they look. * When the solution…

Data
Insight
Aug 13

The Most Common Web Scraping Challenges

Web scraping has become more difficult in recent years. Since 2025, AI-related scraping has raised significant legal concerns. Platforms and infrastructure providers have adopted new methods to control AI crawlers and manage data collection. There are many technical challenges that web scrapers face due to the barriers set by data owners or website owners to…

Data
Aug 13

Web Scraping for Recruiters: Top Tools & Techniques

Recruiters rely on web data to build talent pools, monitor hiring demand, and benchmark compensation. But how you collect that data matters. Many automation tools use cookie/session-based scraping (higher risk of bans), while proxy-based scraping APIs and managed scrapers are built for scale and reliability. Dedicated scrapers and site-specific APIs are the right option when…

AI
Open World Evaluation
Aug 12

Top 10 AI Infrastructure Companies & Applications

Many organizations invest heavily in AI, yet most projects fail to scale. 10-20% of AI proofs of concept progress to full deployment. A key reason is that existing systems are not equipped to support the demands of large datasets, real-time processing, or complex machine learning models. As AI becomes more central to business strategy, infrastructure…

Enterprise Software
Insight
Aug 11

Types of Virtual Reality & Use Cases

Gartner names spatial computing a top strategic trend projected to reach $1.7 trillion by 2033. Virtual reality (VR) and augmented reality (AR) are the core technologies behind this market. Explore VR types, use cases and challenges: Virtual Reality (VR) refers to the usage of computer technology to create three-dimensional (3D) artificial environments that users can…