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
4 Agentic AI Design Patterns & Real-World Examples [2026]
Agentic AI design patterns enhance the autonomy of large language models (LLMs) like Llama, Claude, or GPT by leveraging tool-use, decision-making, and problem-solving. This brings a structured approach for creating and managing autonomous agents in several use cases.
Top 10 IoT Communication Protocols & Key Features Analyzed
The backbone of IoT ecosystem is connectivity. IoT devices can connect and exchange data with each other via communication protocols. You need to know what the top IoT protocols are and how they work if you are looking to establish an IoT system in your organization.
Top 10+ Version Control Tools in 2026
At AIMultiple, we use version control tools every day to manage the code for over 1,000 web pages across multiple projects. Based on our experience, we picked the top version control tools, including open-source and proprietary software.
Oracle Cloud Infrastructure (OCI) Scheduler Features & Alternatives
Compare the top Oracle Cloud Infrastructure (OCI) schedulers ranked by integration capabilities, features, and pricing.
Top 6 Alternatives to Fortra's JAMS in 2026
Based on our analysis of 20+ WLA software, we chose the top alternatives to Fortra’s JAMS. You can click the links to see each vendor’s section, where we explain our rationale behind this selection: Fortra’s JAMS Scheduler is a prominent workload automation tool that manages jobs and tasks across platforms and systems.
Top Alternatives to Dollar Universe Workload Automation
We selected the top alternatives to Dollar Universe based on their popularity, ratings on B2B review platforms, features, scalability, ease of use, and ability to integrate with diverse IT environments, follow the links on the solutions to see our rationale: Broadcom’s Dollar Universe Workload Automation is an early IT operations and workload automation solution.
Dynamic Pricing Algorithms in 2026: Top 3 Models
Dynamic pricing is a method used by business leaders, such as Amazon and Airbnb, to optimize their pricing strategy according to market and consumer data in order to attract more customers and increase profit. In this article, we explore the algorithms underlying dynamic pricing and how to choose the most suitable one for your business.
7 Competitive Intelligence Challenges & Solutions in 2026
In the current competitive business environment, maintaining an edge over rivals has become essential for strategic decision-making. Despite its critical importance, most organizations struggle with competitive intelligence. Research shows that 90% of Fortune 500 companies already use Competitive Intelligence, but its perceived effectiveness is low.
Top 10 Data Center Automation Tools & Case Studies ['26]
In this article, we will go over seven innovative data center automation tools.
45 Statistics, Facts & Forecasts on Machine Learning [2026]
Machine learning is the study of computer algorithms that learn through data. Machine learning is regarded as a subset of artificial intelligence. Surveys and market research are the best way to understand the overall view of the machine learning market, as numbers can reveal key metrics, from the market’s importance to its challenges.
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