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
Agentic CLI Tools: Codex vs Claude Code
Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project. We tested the leading tools in 10 real-world web development scenarios to see which one is more realiable.
Top 12 Alternatives to Windows Task Scheduler in 2026
Windows Task Scheduler, like open-source job schedulers, has no license costs. However, our review found that Task Scheduler’s Windows focus and limited scheduling capabilities may be not sufficient for complex IT scenarios and hybrid cloud requirements of enterprises. Users seeking alternatives to Task Scheduler typically fall into three categories.
Compare Top 10 Alternatives to AutoSys in 2026
AutoSys users are increasingly seeking alternatives due to its reliance on command-line interfaces, rising costs, and uncertainty under Broadcom. Based on our research, we chose the top alternatives to AutoSys. We explained our selection rationale in the vendor’s sections and comparison tables. Use the links below to navigate directly.
7 Network Monitoring Use Cases with Real-Life Examples in 2026
Network monitoring is one of those things that IT teams only notice when it is missing. When it works well, problems get caught before users know anything is wrong. When it is absent, a minor connectivity issue can quietly escalate into a major outage.
Top 20+ Agentic RAG Frameworks
Agentic RAG enhances traditional RAG by boosting LLM performance and enabling greater specialization. We conducted a benchmark to assess its performance on routing between multiple databases and generating queries. Explore agentic RAG frameworks and libraries, key differences from standard RAG, benefits, and challenges to unlock their full potential.
Top 14 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.
Text-to-SQL: Comparison of LLM Accuracy
I have relied on SQL for data analysis for 18 years, beginning in my days as a consultant. Translating natural-language questions into SQL makes data more accessible, allowing anyone, even those without technical skills, to work directly with databases.
Top 50 Deep Learning Use Case & Case Studies
Deep learning uses artificial neural networks to learn from data. When trained on large, high-quality datasets, it achieves high accuracy, making it valuable wherever you have abundant data and need accurate predictions. Below are real deep learning applications across industries and business functions, with concrete examples.
Deep Learning in Finance Top 11 Use Cases in 2026
Deep learning has moved well past the hype stage in financial services. Banks, insurers, and fintechs are deploying these models in production, not as experiments, but as core infrastructure.
Top 5 SAP Job Scheduler Alternatives in 2026
We selected the SAP job scheduler alternatives based on the features, pricing, and market presence metrics of leading solutions. Alternatives to SAP’s Job Scheduler Service offer features that enhance integration, scheduling flexibility, and workflow management.
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