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
IoT Implementation: A Practical Guide Based on Real Deployments in 2026
IoT projects fail more often than they succeed. Companies buy sensors, collect data, then realize they don’t know what to do with it. Or they build a proof-of-concept that works great in the lab but can’t scale to production.
Top 6 Real-life Micro Segmentation Examples in 2026
Source: IC3 Cybercrime cost U.S. organizations $12.5 billion in 2023, a 21% jump from the previous year, according to the FBI’s IC3 report. Traditional perimeter security isn’t cutting it anymore. Micro segmentation divides networks into isolated zones, each with its own security policies.
Graph Analytics in 2026: Top 6 Use Cases & Tools
Most analytics focuses on numbers, revenue trends, customer counts, and conversion rates. Graph analytics takes a different approach: it examines how things connect to each other. Think about how Facebook knows which friends to suggest, or how investigators traced the Panama Papers to reveal hidden offshore accounts.
Top 10+ External Attack Surface Management (EASM) Tools
Several attack surface management (ASM) and external attack surface management (EASM) tools have emerged recently. In this article, I picked the best 10+ platforms based on their asset discovery level and attack surface management capabilities. Here are my key takeaways: Asset discovery level See the explanation for asset discovery methods.
Top 6 Social Media Post Generator Benchmark in 2026
Generative AI is playing a significant role in the creation and management of social media content. As more tools offer features like caption writing, image selection, and post scheduling, it’s helpful to understand how they compare.
Top 10+ Data Classification Tools Compared in 2026
At its core, data classification software helps organizations locate and label sensitive data (e.g., customer information) across endpoints, cloud services, and databases. These systems are offered either as standalone solutions or as modules within larger platforms, such as DSPM, DLP, or cloud data security software.
GPU Marketplace: Shadeform vs Prime Intellect vs Node AI in 2026
Finding available GPU capacity at reasonable prices has become a critical challenge for AI teams. While major cloud providers like AWS and Google Cloud offer GPU instances, they’re often at capacity or expensive. GPU marketplace aggregators have emerged as an alternative, connecting users to dozens of providers through a single interface.
Top 12 Patch Management Software Including NinjaOne
Unpatched systems are low-hanging fruit for attackers. A single outdated server or forgotten workstation becomes an entry point. Patch management software automates the process of finding, testing, and deploying updates before vulnerabilities turn into breaches.
Top 6 Log Analysis Software in 2026
When servers crash at 3 AM or applications start throwing errors, teams need to quickly understand what went wrong. Log analysis platforms help by collecting scattered log files from different systems and making them searchable in a single location.
AGI/Singularity: 8,590 Predictions Analyzed in 2026
We analyzed 8,590 scientists’, leading entrepreneurs’, and the community’s predictions for quick answers on Artificial General Intelligence (AGI) / singularity timeline: Explore key predictions on AGI from experts like Sam Altman and Demis Hassabis, insights from major AI surveys on AGI timelines, and arguments for and against the feasibility of AGI: Artificial General Intelligence timeline
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