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Cem Dilmegani

Cem Dilmegani

Principal Analyst
288 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

AI
Insight
Jul 30

Generative AI ERP Systems: 10 Use Cases & Benefits

Enterprise resource planning (ERP) software helps businesses integrate workflows across finance and operations. Generative AI, alongside technologies like RPA, has the potential to enhance ERP processes. The financial use of Generative AI in ERP systems can cover the automation of entire procure to pay cycle and such as the accounts payable process. Another important element…

Enterprise Software
Insight
Jul 30

Python RPA: 8 Use-Cases for Developers

Robotic process automation (RPA) lets software robots run repetitive computer tasks. Python gives developers a flexible way to build those robots in code. The global RPA market sits at about USD 28 billion in 2025 and is forecast to reach roughly USD 247 billion by 2035.10 Yet between 30% and 50% of RPA projects fail,…

Data
Insight
Jul 30

AI Data Quality: Challenges & Best Practices

Poor data quality delays the successful deployment of AI and ML projects. 15 Even the most advanced AI algorithms can yield flawed results if the underlying data is of low quality. Explore the importance of data quality in AI, the challenges organizations encounter, and the best practices for ensuring high-quality data: Data quality is essential…

Cybersecurity
Open World Evaluation
Jul 30

Top 7 Open-Source DLP Software

While open-source DLP software offers viable solutions for data protection, larger enterprises often turn to closed-source DLP software for enhanced centralized key management and cloud-native deployment options. Below are the top five open-source DLP tools, evaluated for detection accuracy, deployment complexity, and community support. Inclusion criteria: All software offering open-source DLP or configurable DLP functionality…

Data
Insight
Jul 30

Top 15 Training Data Platforms

A model is as good as the data it learns from. Supervised models need accurate, well-labeled examples to make correct predictions. Training data platforms cover the steps between raw data and a usable dataset: sourcing, labeling, and quality checks. See the top training data platforms, split by data marketplaces and data labeling tools, and mapped…

Cybersecurity
Feature Comparison
Jul 30

DLP Pricing: Compare Top 5 Vendors

A data loss prevention (DLP) software offering features similar to those of another can be twice as expensive. We analyzed 18 DLP tools. The top 5 solutions that offered pricing information on their websites are compared. Save on the total cost of ownership by comparing the pricing for some of the top DLP software: *…

Enterprise Software
Open World Evaluation
Jul 29

SCADA Systems: Comparison of Top 10 SCADA Software

Supervisory Control and Data Acquisition (SCADA) systems form the operational backbone of industrial infrastructure. But choosing a platform is a long-term commitment. These systems often run for 10 to 20 years, and the full cost of owning one is high. This makes the choice hard to reverse. We compare 10 major SCADA systems across licensing…

AI
Open World Evaluation
Jul 29

Top 8 Open Source AI Coding Agents

In prior evaluations, we benchmarked both open-source and proprietary Agentic CLIs, focusing on their performance in web development tasks, and some open-source agents performed as successfully as the paid options. Therefore, we also listed the top open-source coding agents for users with privacy concerns. For methodology, see the AI coding benchmark. For more details about…

Enterprise Software
Feature Comparison
Jul 29

Top 7 Alternatives to Automic Automation

Automic Automation is a prominent workload automation tool in the WLA market. However, given businesses’ unique and often niche requirements, it is essential to explore several alternatives. Assess each competitor’s user reviews and indicators of their market presence to determine their strengths and benefits: * See sections below for each product for rationale Automic Automation,…

Agentic AI
Benchmark
Jul 29

AI Agent Performance: Success Rates & ROI

Recent research reveals that AI performance follows predictable exponential decay patterns, enabling businesses to forecast capabilities and differentiate between costly failures and successful ROI-generating implementations. I oversaw 12 AIMultiple benchmarks, including nearly 70 AI agents across more than 1,000 tasks. See what each benchmark measures and where limits remain: Computer use agents interact with a…