
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 13 AI Cybersecurity Use Cases with Real Examples
We present the major AI cybersecurity use cases, each followed by a real-world example demonstrating its impact. Given the widespread adoption of AI and cybersecurity solutions across diverse industries and regions, we aim to provide examples that reflect this global and cross-sector relevance.
Figma MCP Server Tested – Figma to Code
Figma has announced the beta release of its Dev Mode MCP server, which connects design files directly to AI coding tools like Cursor, Windsurf, and Claude Code. The server uses Model Context Protocol (MCP) to provide design context to Large Language Models, enabling code generation that reflects both design specifications and existing codebase patterns.
AI Memory: Most Popular AI Models with the Best Memory
AI models can have memory: They can remember earlier prompts in a conversation. However, models have widely different memory capabilities, which can correlate negatively with model intelligence.
Cognitive Agents: Creating a Mind with LangChain
In this article, we’ll explore how memory types apply to AI agents and how we can use frameworks like LangChain to add memory to AI agents. Memory in AI agents AI agent memory refers to an AI system’s ability to store and recall past experiences.
Large Language Models in Cybersecurity
Large language models (LLMs) are increasingly applied across cybersecurity domains, including threat intelligence, vulnerability detection, anomaly analysis, and red teaming. These applications are supported by both specialized cybersecurity LLMs and general-purpose models.
Agentic CLI Tools Compared: Claude Code vs Cline vs Aider
Explore top free and open-source agentic CLI tools that offer LLM integration, prompt chaining, and code editing capabilities, all within a terminal-based workflow. AI coding tools can generally be grouped into three categories: What are CLI-based coding agents? CLI-based coding agents are conversational, prompt-driven AI tools that operate entirely in the terminal.
Embedding Models: OpenAI vs Gemini vs Cohere
The effectiveness of any Retrieval-Augmented Generation (RAG) system depends on the precision of its retriever component. We benchmarked 11 leading text embedding models, including those from OpenAI, Gemini, Cohere, Snowflake, AWS, Mistral, and Voyage AI, using nearly 500,000 Amazon reviews. Our evaluation focused on each model’s ability to retrieve and rank the correct answer first.
Top 10 Free PAM Solutions
There are no fully-pledged, plug-and-play PAM solutions that are completely free for use in production environments. However, a few vendors offer free solutions with PAM capabilities for low-scale deployments. Some (e.g., Devolutions Password Hub) also have paid business plans with approval workflows/reporting.
Top 20 Active Directory Management Tools
Although many systems have moved to the cloud, Active Directory (AD) remains the central identity platform for managing users, devices, and access across most organizations.
AI Agent Performance: Success Rates & ROI
The AI agent market reached $5.4 billion in 2024 and is projected to grow at 45.8% annually through 2030. Therefore, companies that master AI agent deployment will see significantly greater investment returns.
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