Cem Dilmegani
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
- Cem Dilmegani, Post-AI Banking: Millions of jobs at risk as banks automate their core functions. International Banker.
- Cem Dilmegani, Bengi Korkmaz, and Martin Lundqvist (December 1, 2014).Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Media, conference & other event presentations
- Answers to Korea24's questions on job loss due to AI, Korea24
- Real Estate and Technology, presented by Hofstra University’s Wilbur F. Breslin Center for Real Estate Studies and the Frank G. Zarb School of Business in 2023 and 2024.
- Radar AI session (June 22, 2023): "Increasing Data Science Impact with ChatGPT".
- Generative AI Atlanta meetup: Generative AI for Enterprise Technology.
Sources
- Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
- Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
- Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
- Science, Research and Innovation Performance of the EU, European Commission.
- EU’s €200 billion AI investment pushes cash into data centers, but chip market remains a challenge, IT Brew.
- Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
- We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.
Latest Articles from Cem
Federated Learning: 5 Use Cases & Real Life Examples
According to recent McKinsey analyses, the most pressing risks of AI adoption include model hallucinations, data provenance and authenticity, regulatory non-compliance, and AI supply chain vulnerabilities. Federated learning (FL) has emerged as a foundational technique for organizations seeking to mitigate these risks.
Top 5 Open-Source Agentic Frameworks in 2026
We reviewed several popular open-source AI agent frameworks, examining their multi-agent orchestration capabilities, agent and function definitions, memory management, and human-in-the-loop features. To evaluate practical performance, we implemented four data analysis tasks on each framework: logistic regression, clustering, random forest classification, and descriptive statistical analysis.
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.
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.
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.
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.
Synthetic Data vs Real Data: Benefits, Challenges in 2026
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.
Crowdsourced Data Collection: Benefits & Best Practices
Data collection is a crucial stage in developing AI/ML models, as it directly influences their real-world performance. Whether you work with a data collection service or gather data yourself, it’s vital to execute this process correctly.
DLP Pricing: Compare Top 3 Vendors in 2026
A data loss prevention (DLP) software offering similar features to another one can be twice as expensive. We analyzed the pricing & packages of 8 DLP tools. Save on the total cost of ownership by comparing the pricing for some of the top DLP software: Table 1. Price comparison of DLP software Source: Vendor websites.
Top 5 Chatbot Companies in India including Gupshup [2026]
India’s e-commerce sector shows the highest chatbot adoption rates globally. But with hundreds of vendors claiming to be “the best,” how do you actually choose? We analyzed India-based chatbot companies using public business data reviews, employee count, local presence, and documented results with Indian clients.
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.