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 enterprise AI and software.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
- Hosted on American Variety Radio, answering Court Lewis' questions on AGI on April 25th, 2026.
- Answered Korea24's questions on job loss due to AI on November 5th, 2025. Recording available on: 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
RAG Frameworks: LangChain vs LangGraph vs LlamaIndex
We benchmarked 5 RAG frameworks: LangChain, LangGraph, LlamaIndex, Haystack, and DSPy, by building the same agentic RAG workflow with standardized components: identical models (GPT-4.1-mini), embeddings (BGE-small), retriever (Qdrant), and tools (Tavily web search). This isolates each framework’s true overhead and token efficiency. RAG frameworks benchmark results The benchmark consisted of 100 queries, with each framework…
15 AI Agent Observability Tools in 2026: AgentOps & Langfuse
AI agent observability tools, such as Langfuse and Arize, help gather detailed traces (a record of a program or transaction’s execution) and provide dashboards to track metrics in real time. Many agent frameworks, like LangChain, use the OpenTelemetry standard to share metadata with agentic monitoring. On top of that, many observability tools provide custom instrumentation…
GPU Marketplace: Vast.ai vs Shadeform vs Prime Intellect
Finding available GPU capacity at reasonable prices has become a critical challenge for AI teams. While major cloud providers like AWS and Google Cloud offer GPU instances, they’re often at capacity or expensive. GPU marketplace aggregators have emerged as an alternative, connecting users to dozens of providers through a single interface. See below for the…
The 7 Layers of Agentic AI Stack [2026]
The rise of agentic AI has introduced a technology stack that extends well beyond simple calls to foundation-model APIs. Unlike traditional software stacks, where value often concentrates at the application tier, the agentic AI stack distributes value more unevenly. Some layers offer strong opportunities for differentiation and moat building, while others are rapidly becoming commoditized.…
Building Personal AI Agents + 18 Agent Platforms and Tools
We spent the two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: No-code automation tools: Great for…
Compare 10 Open Source MFA Tools
We compared 10 free and open-source MFA tools across their authentication protocols, MFA methods, deployment options, and most recent releases. When starting your free and open source multi-factor authentication (MFA) implementation, consider: Enterprise-grade MFA solutions: Keycloak, Authelia, Authentik, Zitadel, and Kanidm provide full identity and access management (IAM) with support for multiple authentication protocols. Lightweight…
Top 25 Chatbot Case Studies & Success Stories
The global chatbot market sits at roughly $11.8 billion, growing at 23% per year toward $27 billion by 2030.32 Most deployments fail. The bots that last are built for a single specific task and perform it better, faster, or cheaper than a human agent can at scale. We compiled a list of 25 successful chatbot…
Top 10+ Workload Automation Use Cases
Workload automation (WLA) tools automate business processes by scheduling, executing, and logging tasks across different business platforms. They are used to automate both back office workflows as well as some customer-facing tasks to increase system uptime, improve data management and manage automation costs. Based on our experience researching and publishing 50+ articles covering WLA, we…
Top 12 RMM Software Tested: Features and Pricing
We benchmarked the top 3 RMM platforms (NinjaOne, ManageEngine, and Acronis) by deploying them to seven servers across six AWS regions. We analyzed how they handle agent deployment and monitoring from scratch. RMM benchmark summary Dashboard & Monitoring MetricNinjaOneManageEngineAcronis Monitoring StartupAutomaticAutomaticManual plan required Dashboard LayoutFull-page tabsFull-page tabsRight-side panel Terminal Access✅ Browser-based + 2FA✅ Browser-basedVia Remote…
15+ Best Open Source Web Crawlers for LLM & AI
Recent advances in generative AI have reshaped what developers need from web crawlers. Agentic crawlers now use natural-language prompts to select links rather than fixed rules, and produce token-efficient markdown natively. At the same time, the classic frameworks for large-scale batch crawling remain irreplaceable for enterprise and research use. Quick comparison table Web crawlerLanguage written…
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