
Cem Dilmegani
Cem has been the principal analyst at AIMultiple for almost a decade.
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, automation, cybersecurity (including network security, application security), data collection including web data collection and process intelligence.
Cem's hands-on enterprise software experience contributes to his work. Other AIMultiple industry analysts and 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 (September 28, 2017). 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
Conference & other event presentations
- 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 (March 10, 2023): 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
Top 7 Open Source HRIS Tools with Key Features
Open-source HRIS software provides a more affordable alternative to closed source code HR information system tools, although they have some limitations such as vulnerabilities from open source. These systems are widely used for their flexibility and cost-effectiveness. We’ve gathered a selection of commonly used open-source HRIS tools, each with its own set of features.
AI in SOAR: AI Analytics vs GenAI vs Agents
AI capabilities in security orchestration, automation, and response (SOAR) aim to automate security operations centers (SOCs), reducing human tasks and increasing efficiency. Several types or subsets (e.g. machine learning) of AI are employed in the SOC.
Top 20 Browser Testing Tools
At AIMultiple, we utilize cross-browser testing tools on a daily basis to determine if our 1,000+ web pages work as intended in various browsers. Based on our experience, we picked the top browser testing tools, which include both open-source and proprietary software.
Top 8 Remote Desktop Tools: Features and Pricing Compared
We selected the following vendors based on their ease of use, security capabilities, and core features, including unattended access, session recording, and file transfer.
LLM Pricing: Top 15+ Providers Compared
We analyzed 15+ LLMs and their pricing and performance. LLM API pricing can be complex and depends on your preferred usage. If you plan to use: Hover over model names to see their full names and over headers to see explanations about the columns.
Top 10 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.
Top 12+ Android Emulators
Android emulators let you run Android apps and games on PC, Mac, and browsers. Different emulators excel in different use cases. Below is a list of the top Android emulators categorized by their strengths – from gaming to app development, security testing, and everyday Android app usage.
Best ChatGPT Alternatives: Features & Comparison
Based on my analysis of LLM models and their performance in real-world applications, I’ve compiled a list of ChatGPT alternatives covering everything from open-source LLMs to enterprise-ready AI assistants. Whether you’re looking for better accuracy, cost-effective options, or specialized AI chatbots, this guide will help you find the right tool for your needs..
Top 7 Open-Source Vector Databases: Faiss vs. Chroma & More
Vector databases are a core enabler of AI-driven applications. As AI Agents and models increasingly rely on high-dimensional data retrieval, selecting a scalable, open-source vector database becomes critical for enterprise deployment.
Speech-to-Text Benchmark: Deepgram vs. Whisper
We benchmarked the leading speech-to-text (STT) providers, focusing specifically on healthcare applications. Our benchmark used real-world examples to assess transcription accuracy in medical contexts, where precision is crucial. Benchmark results The average WER results of our tasks show that Deepgram is the leading speech-to-text provider for healthcare in this benchmark.
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