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
AI Memory: Most Popular AI Models with the Best Memory
Smarter models often have worse memory. We tested 26 large language models in a 32-message business conversation to determine which actually retain information. AI memory benchmark results We tested 26 popular large language models through a simulated 32-message business conversation with 43 questions.
AI Chatbot Pricing: Chatbot Cost Comparison in 2026
Chatbots reduce customer support costs while maintaining 24/7 availability. With generative AI chatbots like ChatGPT, more businesses are adopting them. Ambiguous pricing models create barriers to adoption. Here’s what chatbot platforms actually cost, explained clearly.
Top 25 Generative AI Finance Use Cases in 2026
I spent a decade consulting for financial services firms. Every AI implementation I saw followed the same pattern: pilot projects that looked impressive in presentations but stalled in production. That’s changing. Banks are now deploying generative AI at scale, and the results are measurable. Here’s what’s actually working, based on implementations you can verify.
RAG Evaluation Tools: Weights & Biases vs Ragas vs DeepEval vs TruLens
Failures in Retrieval Augmented Generation systems occur not only because of hallucinations but more critically because of retrieval poisoning. In such cases, the retriever returns documents that share substantial lexical overlap with the query but do not contain the necessary information.
Top 10 Open Source Micro Segmentation Tools in 2026
Traditional network segmentation doesn’t work for microservices. IP addresses and ports can’t protect API communications when services spin up and down dynamically across containers. Large enterprises running microservices architectures need different approach: identity-based segmentation that follows services wherever they run.
Agentic AI for Cybersecurity: Use Cases & Examples
Agentic AI refers to AI systems that combine models like large language models (LLMs) with automated workflows, tool integration, and decision support. These systems assist security teams in SecOps and AppSec by analyzing alerts, automating routine tasks, and supporting investigative work. Agentic AI tools generally operate under human oversight.
Top 7 Workload Automation Tools ['26]: Vendor Benchmark
We compare 7 workload automation tools. In our screening, we used three criteria. 100+ employee size on LinkedIn, 3M+ funding or revenue and reference from a Fortune 500 company.
Top 10 Enterprise Job Scheduler Software in 2026
AIMultiple vetted top job scheduling software based on the features, pricing, and market presence metrics of leading solutions. Follow the links below to see our rationale for each selection: Enterprise job scheduling software market leaders **Ratings are based on B2B review platforms.
Local AI Agents: Goose, Observer AI, AnythingLLM
Local AI agents are often described as offline, on-device, or fully local. We spent three days mapping the ecosystem of local AI agents that run autonomously on personal hardware without depending on external APIs or cloud services.
Linux Job Scheduler: Review, Guide & Alternatives in 2026
Linux job scheduler and ‘cron,’ a time-based job scheduler, are commonly used in Linux job scheduling.
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