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 10+ Commercial & Open Source AI Agents in Sales
AI SDRs support sales teams by automating key parts of the sales outreach process. These agents integrate with CRMs, email tools, and outreach platforms, and improve over time through feedback and performance data for sales operations.
12+ Data Augmentation Techniques for Data-Efficient ML
Data augmentation techniques generate different versions of a real dataset artificially to increase its size. Computer vision and natural language processing (NLP) models use a data augmentation strategy to handle data scarcity and insufficient data diversity. Data-centric AI/ML development practices, such as data augmentation, can increase the accuracy of machine learning models.
Open Operator: A Free Alternative to OpenAI's Operator
Early in 2025, OpenAI announced Operator, a new research preview of ChatGPT that serves as an agent for repetitive activities. It can browse for plane tickets, book a table, or shop online, and execute daily digital tasks for you on its own.
Top 5 IBM Watson Competitors in 2026
Businesses use conversational AI to handle customer questions at scale and cut down wait times. IBM’s WatsonX Assistant is a popular choice, but with over 200 platforms available, it’s not the only option – and it might not be the right one for you.
AI Apps with MCP Memory Benchmark & Tutorial in 2026
We tested memory tools to find out which ones actually work best for AI agents. Using LangChain’s ReAct Agent, we connected four different Model Context Protocol (MCP) memory servers and measured their performance in real scenarios. Beyond benchmarking, we built a working demo that connects Claude with Cursor through OpenMemory MCP.
Cognitive Agents: Creating a Mind with LangChain in 2026
A cognitive agent isn’t just a chatbot responding on command; it’s a system that perceives, reasons, and adapts as its environment changes. AI agent memory capability helps AI agents to keep track of what’s happening now, what happened before, and which pieces of information are worth carrying forward. Without this, every conversation becomes a blank slate.
How we Moved from LLM Scorers to Agentic Evals? in 2026
Evaluating LLM applications primarily focuses on testing an application end-to-end to ensure it performs consistently and reliably. We previously covered traditional text-based LLM evaluation methods like BLEU or ROUGE. Those classical reference-based NLP metrics are useful for tasks such as translation or summarization, where the goal is simply to match a reference output.
Top 15 Logistics AI Use Cases & Examples
Persistent inefficiencies, rising operational costs, and ongoing supply chain disruptions continue to challenge logistics functions globally. These pressures are straining traditional systems, reducing service reliability, and limiting organizations’ ability to scale. In response, companies are increasingly turning to artificial intelligence to enhance end-to-end visibility, strengthen resilience, and optimize core functions.
Top 7 Open Source HRIS Tools with Key Features in 2026
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.
Top 7 RPA Linux Software to Discover in 2026
Most robotic process automation (RPA) bot development is going on in Windows machines since most corporate end users rely on Windows. However, the Linux operating system has particular advantages over MacOS and Windows, and RPA tools can add value to Linux systems as well.
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