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
Banking Chatbots: 7 Tools, 4 Use Cases & 5 Practices ['26]
Industries where customer service is a top priority face increasing costs due to the demand for excellent customer service. Banking chatbots allow customers to complete transactions using either voice or text, reducing operational costs while enhancing customer satisfaction.
ChatGPT in Audit in '26: Benefits, Challenges & Best Practices
This article, will analyze the top use cases of ChatGPT in audit, such as In addition, we will also explore the challenges of implementing ChatGPT in auditing practices and present a framework for establishing an effective collaboration between the human auditor and ChatGPT.
Top 10 Email Server Software: Features & Pricing in 2026
There are two main use cases for email servers. If you are looking for: Top 5 transactional email providers Sorting: The list ranks providers, with sponsored entries shown first along with their respective links. All non-sponsored providers are listed in order of the total number of B2B user reviews collected from G2 and Capterra.
AI Email Marketing Tools to Boost Performance in 2026
AI email marketing tools enable the creation of personalized email marketing messages with minimal manual effort. We identified the solutions below based on their capabilities in content generation, marketing automation, and optimization.
AI Application Security: Threats, Vulnerabilities & Real Examples
As 78% of enterprises embed AI into business processes, attackers are targeting models, data, and APIs at unprecedented rates. We explain AI application security and provide real-world examples of threats and vulnerabilities.
Azure Logic Apps: 7 Use Cases & Real-life Examples ['26]
Businesses face integration challenges across legacy and cloud systems. Azure Logic Apps offers workflow automation to reduce manual effort and system silos. As Azure Logic Apps offer various services, users may get confused about which one to use and when.
Top 7 Speech Recognition Challenges & Solutions in 2026
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.
Generative AI ERP Systems: 10 Use Cases & Benefits ['26]
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.
7 Best Rotating Proxy Service Providers in 2026
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.
5 AI Training Steps & Best Practices in 2026
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.
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