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Cem Dilmegani

Cem Dilmegani

Principal Analyst
306 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 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

AIMar 23

RAG Evaluation Tools: Weights & Biases vs Ragas vs DeepEval

When a RAG pipeline retrieves the wrong context, the LLM confidently generates the wrong answer. Context relevance scorers are the primary defense. We benchmarked five tools across 1,460 questions and 14,600+ scored contexts under identical conditions: same judge model (GPT-4o), default configurations, and no custom prompts. Under standard conditions, WandB, TruLens, and Ragas emerged as…

CybersecurityMar 17

Data Loss Prevention (DLP): Types & 6 Challenges

The increased mobility introduces risks of data loss or theft, which can lead to severe financial losses and reputational damage for companies. Effective Data loss prevention (DLP) software needs to prevent the unauthorized movement of private data and personally identifiable information (PII) to limit reputational and financial risk. Explore DLP fundamentals, challenges organizations face when…

Enterprise SoftwareMar 17

Cloud Workload Automation: Top Software & Use Cases

Businesses are increasing their flexibility while managing costs by adopting a hybrid cloud strategy. According to Statista, industries have increased their cloud workloads and had an uptick as a response to the COVID-19 pandemic.10 We explore the differences between cloud and hybrid workload automation, the top tools, and 7 use cases of hybrid & cloud…

Agentic AIMar 16

Compare 50+ AI Agent Tools in 2026

We spent the last quarter testing AI agents across coding, customer service, sales, research, and business workflows. Not reading vendor marketing, actually using these tools daily to see what delivers and what does not. Most tools today are co-pilots, not autopilots. They handle research and automate repetitive tasks, but still require human decision-making for anything…

Enterprise SoftwareMar 16

Pros & Cons of Top 6 RPA Alternatives to Consider

Robotic Process Automation (RPA) is a beneficial technology that can automate up to 70-80% of rules-based processes. However, ~40% of companies fail to reach their expectations of cost reduction after RPA implementation. This is because RPA is not the right fit for every process and there are potential pitfalls of RPA implementation, such as costly…

AIMar 14

AI Code Review Tools Benchmark

With the increased use of AI coding tools, codebases have become more prone to vulnerabilities, which increased the need for effective code reviews. To address this, we introduce RevEval (AI Code Review Eval), which benchmarks the top four AI code review tools across 309 pull requests from repositories of varying sizes and evaluates their performance…

CybersecurityMar 6

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 solutions 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. Top open-source DLP software Software NameSupported OSKey Features TruffleHogCross-platform-Secret scanning…

Enterprise SoftwareMar 6

Top 20 RPA SAP Use Cases & Examples

SAP is one of the oldest and most valuable ERP systems, with ~ €31 billion in revenue.50 Though an ERP suite offering automation in many areas, most SAP processes are manual and repetitive, such as accounting processes, transaction management, and reporting. This makes RPA a great candidate for automating SAP and redirecting resources to higher-value…

AIMar 6

Test Automation Documentation with Best Practices 

Test automation is vital for ensuring the quality and reliability of applications in software testing and development. Businesses and QA teams are transitioning from manual testing to automation testing as it can: automate repetitive tasks reduce human error shorten testing cycles,57 What often goes overlooked is the role of effective documentation in maximizing the benefits…

Enterprise SoftwareMar 5

Python RPA: 7 Use-Cases for Developers

The intersection of robotic process automation (RPA) and Python can revolutionize the intelligent automation landscape. Even though the global RPA market is valued at USD 28 billion in 2025 and is estimated to grow from USD 35.27 billion in 2026 to approximately USD 247 billion by 2035,60 between 30% and 50% of RPA projects fail.…