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Cem Dilmegani

Cem Dilmegani

Principal Analyst
724 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

AIAug 7

Top 7 Speech Recognition Challenges & Solutions

Speech recognition technology has significantly advanced in areas like generative AI, voice biometrics, customer service, and smart home devices. Despite rapid adoption, implementing this technology still poses various challenges. Here, we outline the top 7 challenges and best practices for overcoming them: 1.

AIAug 7

Generative AI ERP Systems: 10 Use Cases & Benefits

Enterprise resource planning (ERP) software helps businesses see the process across different departments so they can make smarter decisions faster. Generative AI, alongside technologies like RPA, has the potential to enhance ERP processes.

DataAug 4

7 Best Rotating Proxy Service Providers

We benchmarked major rotating proxies (residential, datacenter, and mobile) using over 200,000 requests, including 100,000 parallel requests, for major e-commerce and social media sites.

AIAug 4

5 AI Training Steps & Best Practices

AI can boost business performance, but 85% of AI projects fail, often due to poor model training. Challenges such as poor data quality, limited scalability, and compliance issues hinder success. Check out the top 5 steps in AI training to help businesses and developers train AI models more effectively.

AIAug 4

100+ AI Use Cases with Real Life Examples

During my ~2 decades 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 categorized them by business function and industry.

CybersecurityAug 1

100+ Network Security Statistics

Network security is essential to maintain strong organizational resilience and understand network security use cases. Discover 100+ current network security data points derived from expert evaluation and market analysis: 1-Key network security statistics 1.

CybersecurityAug 1

Top 10 Cloud Data Security Software

Cloud data security solutions secure your cloud data from data breaches, data loss, and modern attacks such as ransomware. Based on their data security features, coverage, and market presence I reviewed top 10 vendors including Sentra, Wiz and Acronis Cyber Protect Cloud.

Enterprise SoftwareAug 1

Tech Industry Analysis: 7 Trends Managers Must Know

Technology industry is one of the world’s leading sectors. Each year, its share in global and regional GDPs is increasing. In this environment of advanced technologies and competition, it is important than ever to have a correct outlook of the sector. For this, tech industry analysis is a must for a successful technology sector leader.

CybersecurityAug 1

Top 20 Active Directory Management Tools

Although many systems have moved to the cloud, Active Directory (AD) remains the central identity platform for managing users, devices, and access across most organizations.

AIJul 31

10 Computer Vision Agriculture Use Cases & Examples

Labor shortages, resource inefficiencies, and environmental pressures increasingly challenge agriculture. Climate change adds to this burden through extreme weather, water scarcity, and rising pest threats, further straining productivity and sustainability. Computer vision offers targeted solutions by enabling automation and data-driven insights across critical farming operations.


Cem Dilmegani | AIMultiple: High Tech Use Cases & Tools to Grow Your Business