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Cem Dilmegani

Cem Dilmegani

Principal Analyst
287 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
Sep 15

Top 30+ NLP Use Cases with Real-life Examples

We analyzed 250+ deployments across industries. Thirty use cases stood out not because they sounded impressive in vendor demos, but because they cut costs, saved time, or generated revenue. No theoretical applications. Just implementations with verified results. Early machine translation replaced words one-for-one. Modern systems understand context: when “bank” means a financial institution versus a…

AI
Insight
Sep 15

Top 10 Mortgage Chatbots: Use Cases & Examples

Banks that keep customers happy grow deposits 85% faster than competitors. Loan processing directly affects client satisfaction. 20. Chatbots can handle mortgage-related tasks around the clock, simulating what mortgage brokers typically do. We examine 10 vendors, their practical applications, and United Wholesale Mortgage’s implementation. *The table is sorted by rating score. Mortgage chatbots handle loan-related…

AI
Benchmark
Sep 15

Large Language Models in Cybersecurity

We evaluated 7 large language models across 9 cybersecurity domains using SecBench, a large-scale and multi-format benchmark for security tasks. We tested each model on 44,823 multiple-choice questions (MCQs) and 3,087 short-answer questions (SAQs), covering data security, identity & access management, network security, vulnerability management, and cloud security. MCQs (Multiple-Choice Questions) benchmarking: SAQs (Short Answer…

AI
Feature Comparison
Sep 15

Compare 9 Large Language Models in Healthcare

We benchmarked 9 LLMs using the MedQA dataset, a graduate-level clinical exam benchmark derived from USMLE questions. Each model answered the same multiple-choice clinical scenarios using a standardized prompt, enabling direct comparison of accuracy. We also recorded latency per question by dividing total runtime by the number of MedQA items completed. Benchmark methodology: This benchmark…

Enterprise Software
Insight
Sep 15

Top 20 ITSM Case Studies

Leveraging IT Service Management (ITSM) tools is essential for businesses aiming to increase the efficiency of their IT operations and enhance service delivery. Explore ITSM case studies across various industries such as education, manufacturing, transportation, and telecommunications, and see how companies have leveraged ITSM solutions to overcome service management challenges, improve efficiency, and boost customer…

AI
Insight
Sep 15

25 Healthcare AI Use Cases with Examples

A recent study shows that hybrid teams of human clinicians and AI systems make more accurate medical diagnoses, largely because they tend to make different and complementary errors that help correct one another. These findings indicate strong potential of AI to enhance patient safety and promote more equitable healthcare.48 How do healthcare AI systems perform?…

AI
Insight
Sep 15

100+ AI Use Cases with Real Life Examples

Exploring AI use cases can help companies identify 44% more opportunities and lower external funding needs by 39.5% before implementation. During my nearly 20 years of experience of implementing advanced analytics & AI solutions at enterprises, I have seen the importance of use case selection. I analyzed 100+ AI use cases, their real-life examples and…

AI
Insight
Sep 15

Top 13 Use Cases of Generative AI in Education

According to the OECD Digital Education Outlook, 57% of lower secondary teachers state that AI helps them create or improve lesson plans.94Used with a clear teaching purpose, generative AI technologies can improve learning and support skills such as critical thinking, creativity, and collaboration. Explore the top 13 use cases to learn how generative AI can…

AI
Insight
Sep 15

Top 25 Generative AI Finance Use Cases

I spent a decade consulting for financial services firms. Every AI implementation I saw followed the same pattern: pilot projects that looked impressive in presentations but stalled in production. That’s changing. Banks are now deploying generative AI at scale, and the results are measurable. Here’s what’s actually working, based on implementations you can verify. Specialized…

AI
Insight
Sep 15

17 Generative AI Healthcare Use Cases

Healthcare systems are facing increased data volumes, staff shortages, and rising expectations for personalized care. Generative AI is emerging as a key solution by synthesizing unstructured medical data, such as clinical notes, imaging reports, and patient histories, into insights for clinicians and administrators. Explore how generative AI is applied across healthcare delivery, administration, and population…

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