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Cem Dilmegani

Cem Dilmegani

Principal Analyst
573 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 SoftwareNov 13

AutoSys in 2026: Key Features and User Insights

Interest in Broadcom’s AutoSys is declining (Source: Google Trends) and it has a lower average rating on review platforms compared to most other workload automation tools.

AINov 13

Compare Top 28 Legal AI Software by Pricing

In the last 2 decades, I worked with enterprises as a consultant and tech vendor to deploy advanced analytics & AI solutions. I looked into more than 50 legal tech companies using generative AI and categorized the leading products.

AINov 13

Generative AI in Insurance: 10 Use Cases & 5 Challenges

Generative Artificial Intelligence (AI) emerges as a promising solution, capable of not only streamlining operations but also innovating personalized services, despite its potential implementation challenges. The insurance value chain, from product development to claims management, is a complicated process.

Enterprise SoftwareNov 13

RPA for Mac: 13 RPA tools That Can Run on Mac

RPA is a popular automation technology with various tools available across different platforms. The chart above shows that Windows dominates search interest for RPA platforms, which explains why many RPA tools primarily target Windows. Finding an RPA solution specifically designed for macOS becomes challenging. But that doesn’t mean RPA for Mac doesn’t exist.

AINov 12

AGI Benchmark: Can AI Generate Economic Value in 2026

AI will have its greatest impact when AI systems start to create economic value autonomously. We benchmarked whether frontier models can generate economic value. We prompted them to build a new digital application (e.g., website or mobile app) that can be monetized with a SaaS or advertising-based model.

AINov 11

How AI transforms Cybersecurity: Real-Life Examples ['26]

By leveraging machine learning, advanced analytics, and automation, AI enables businesses to enhance their security posture, identify vulnerabilities, reduce response times, and allocate resources more efficiently. However, AI is also a double-edged sword; cyber threats are also evolving due to developments in network security and generative AI.

AINov 11

AI Agent Security: 7+ Tools to Reduce Risk in 2026

As AI agents gain autonomy, they introduce new risks, ranging from prompt injection to unauthorized access. Security is a critical aspect of AI agents; we cover AI agent security and highlight the tools designed to address it.

CybersecurityNov 10

Top 10 Network Planning Tools: Key features & Benefits

Network planning tools help businesses optimize performance, manage resources efficiently, and ensure scalable, reliable network designs for growth and stability.

DataNov 10

Top 20 Browser Testing Tools in 2026

At AIMultiple, we utilize cross-browser testing tools on a daily basis to determine if our 1,000+ web pages work as intended in various browsers. Based on our experience, we picked the top browser testing tools, which include both open-source and proprietary software.

DataNov 10

Synthetic Data vs Real Data: Benefits, Challenges

Synthetic data is widely used across various domains, including machine learning, deep learning, generative AI (GenAI), large language models, and data analytics. According to Gartner, by 2030, synthetic data use will outweigh real data in AI models.