Cem Dilmegani
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
- 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
- Hosted on American Variety Radio, answering Court Lewis' questions on AGI on April 25th, 2026.
- Answered Korea24's questions on job loss due to AI on November 5th, 2025. Recording available on: 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
Quantum Annealing: Practical Quantum Computing
Quantum annealing is a promising quantum technology for companies with urgent optimization problems that traditional computers cannot solve quickly. It can be used to solve optimization problems more effectively than traditional computers. However, it is still mostly used in academia, and more R&D is required to build commercial quantum annealers. There are different approaches to…
Best 50+ Open Source AI Agents Listed
Everyone has been building AI agents so after hands-on testing with popular AI coding agents, AI agent builders and tools use benchmarks to evaluate their real-world capabilities, we put together a curated list of the best 50+ open source AI agents. Click the category headers to jump straight to our top picks: Agent development &…
Top 22 Version Control Tools
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: Git is a free and open-source distributed version control system originally created by Linus Torvalds in 2005 for…
5 Agentic AI Design Patterns & Real-World Examples
Agentic AI design patterns enhance the autonomy of large language smodels (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. An agent is considered more intelligent if it consistently chooses actions that lead to outcomes more closely…
Top 40+ Network Security Audit Tools
Network security audit tools scan a network and report on its security. They flag threats, vulnerabilities, and missing patches, then alert administrators. These tools vary widely in function. Some handle patch management. Others fall into the categories below: These tools scan these assets for vulnerabilities that attackers could exploit. They create a detailed inventory of…
Top 20+ Predictions from Experts on AI Job Loss
As a McKinsey consultant, I helped enterprises adopt new technologies for a decade. My quick answers: Note: The size of the plots is correlated with the size of the job loss prediction. The percentages referenced in our analysis are derived from assumptions about overall job displacement. In specific scenarios, these assumptions included potential job gains…
Top 11 Open Source Web Crawlers for LLM & AI
Recent advances in generative AI have reshaped what developers need from web crawlers. Agentic crawlers now use natural-language prompts to select links rather than fixed rules, and produce token-efficient markdown natively. At the same time, the classic frameworks for large-scale batch crawling remain irreplaceable for enterprise and research use. Language: Python | License: Apache 2.0…
LLM Parameters: Types, Scaling, Fine-Tuning Guide
Parameter count is one of the most cited specifications of a large language model, but it does not determine how well a model performs or how much it costs to run. The chart below compares 31 models by their LLM Index score and their average cost per task across seven benchmarks. Four models form the…
20+ AI Agent Builders: Microsoft, CrewAI, LangGraph and More
After reviewing the documentation and spending several hours testing these AI agent builders, we compiled a list of the best open-source frameworks and low-code/no-code platforms. To demonstrate AI agent builder use cases, we provided a tutorial on building a product-expert agent with CrewAI. Low-code/no-code platforms with prebuilt tools are best for enterprise workflow automation tasks…
Compare Top 12 Open Source Job Schedulers
Businesses leverage open source job schedulers and workload automation tools to automate IT tasks without paying licensing costs or getting locked in to a specific vendor. Explore top open-source job schedulers, from workflow orchestrators to embedded libraries, with their GitHub star history, license, environment, and production-grade capabilities: The following is a sortable list of the…
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