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
Best 8 CSPM Pricing and Plans
CSPM pricing isn’t straightforward. What you pay depends on what you’re monitoring, how many people need access, and which features you actually use. The starting price represents monthly payments for annual plans. Data is obtained from vendor websites, AWS Marketplace, and vendr.
Top 10 Microsegmentation Tools
Microsegmentation divides networks into controlled segments, limiting the spread of breaches. When TeamViewer got hacked, its segmented network stopped the attackers from reaching customer systems.Based on the key features and market presence, see the top 10 microsegmentation software solutions: Features All providers offer common features and therefore can support typical microsegmentation use cases.
ChatGPT for Customer Service: Top 10 Use Cases
ChatGPT has become one of the most talked-about AI tools in business. While it’s primarily known for text generation, companies are finding practical ways to use it in customer service – with varying degrees of success. Here’s what actually works, what doesn’t, and how businesses are implementing ChatGPT to handle customer support.
Large Language Models: Complete Guide
Large language models are now central to artificial intelligence because they can understand natural language and generate text with high accuracy. They use transformer architecture and deep learning to process large amounts of training data and learn patterns in human language. Their usefulness spans many tasks, from answering questions to analysing documents.
Remote Browsers: Web Infra for AI Agents Compared
AI agents rely on remote browsers to automate web tasks without being blocked by anti-scraping measures. The performance of this browser infrastructure is critical to an agent’s success. We benchmarked 8 providers on success rate, speed, and features.
Best 9 Network Monitoring Tools in Windows
We tested and reviewed several network monitoring tools built for Windows environments to understand how they perform in real-world setups. Our goal was to find solutions that balance reliability, usability, and deep integration with Microsoft systems. We based our evaluation on three primary criteria: * Reviews are based on Capterra and G2.
AI Deep Research: Claude vs ChatGPT vs Grok
AI deep research is a feature in some LLMs that offers users a wider range of search results than AI search engines.
AI Presentation Maker: Gamma vs. Canva, vs. SlidesGO
We evaluated the top 5 AI presentation makers by examining their capabilities across 9 dimensions with 4 different prompts to assess how well they handle various scenarios: AI presentation maker benchmark results Review the methodology and evaluation criteria to understand how we determined these results.
Top 9 AI Agents in Accounting
Tools like Dext, AutoEntry, and Hubdoc have automated data extraction and transaction posting. But these systems are fundamentally still rule-based, often requiring accountants to jump between spreadsheets.
Top AI Note Takers Tested: Motion, Fellow, Otter, and TL;DV
We tested each AI note taker to evaluate their accuracy and features during real world meetings. Follow the links to view our detailed reviews: AI note taker benchmark results Methodology for evaluating AI note taking tools: We tested AI note takers during a strategy session focused on improving sales in the rural market. 1.
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