Cem Dilmegani
Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, and Washington Post, global firms like Deloitte and 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 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
ERP Pricing: 5 Vendors, 5 Models & 6 Factors
ERPs are popular for providing end-to-end solutions, with the ERP market projected to reach ~$59.34bn in 2026.1 However, ERP budget overruns may restrict implementation projects. Explore ERP pricing models, factors influencing costs, and the pricing structures of 5 vendors: *The data in the table is extracted from one of Accumatica’s partner organizations.2 **The costs can…
4 Agentic AI Design Patterns & Real-World Examples
Agentic AI design patterns enhance the autonomy of large language smodels (LLMs) like Llama, Claude, or GPT by leveraging tool-use, decision-making, and problem-solving. This brings a structured approach for creating and managing autonomous agents in several use cases. An agent is considered more intelligent if it consistently chooses actions that lead to outcomes more closely…
7 Useful AI Transformation Strategies
Before choosing how to transform AI, leaders need to know where to start. We analyzed the Anthropic Economic Index (March 2026 release)10, mapping over 1 million real-world Claude interactions across 3,260 occupational tasks to the standard APQC Process Classification Framework (PCF).11 Check out high, mid, and granular-level processes by real-world AI exposure and human verification…
UiPath Pricing: RPA Pricing Models Explained
UiPath is one of the most popular RPA vendors, but RPA pricing structure can be complex. We examined different pricing options to help business and tech leaders understand UiPath’s pricing and secure a high-ROI RPA solution through their UiPath partnership. We analyzed UiPath pricing plans and licensing documentation to provide you with a clear overview…
State of OCR technology: Is it dead or a solved problem?
Optical Character Recognition (OCR) is one of the earliest areas of artificial intelligence research. Today, OCR technology is relatively mature and no longer called AI, which is a good example of Pulitzer Prize winner Douglas Hofstadter’s quote: AI is whatever hasn’t been done yet.24 In our OCR benchmark, DeltOCR, a large language model, correctly reads…
Top 15+ Open Source Incident Response Tools
Based on their categories and GitHub stars, here are the leading open-source incident response tools to help you automate detecting and resolving security breaches. See the explanation of incident response tools and pure incident response tools. See the explanation of categories. Tool selection criteria: Graylog is a SIEM and log management platform for collecting, analyzing,…
Top +100 RPA Use Cases with Real Life Examples
The RPA market is valued at $35 billion in 2026 and is projected to reach $247 billion by 2035.33 RPA can automate repetitive tasks in the front and back offices. A use case-focused approach is critical to optimizing the value of technology investments. We identify 103 use cases and real-life examples of Robotic Process Automation,…
Synthetic Users Explained: Top 7 AI User Research Tools
After evaluating 10+ AI research platforms and reviewing independent validation studies, we found synthetic users work best for hypothesis generation and early-stage testing, not final design decisions. Viewpoints.ai creates synthetic consumer panels for market research testing surveys, concepts, and ad creative without recruiting real participants. What it does: Key features: Brox.ai focuses on product testing…
Top 10 Microsegmentation Tools
Microsegmentation divides networks into controlled segments, limiting the spread of breaches. We researched 11 microsegmentation platforms, verifying vendor claims against official product documentation, cross-referencing release notes, and field notices. Based on key features and market presence, see the top 11 microsegmentation tools: All providers offer common features and therefore can support typical microsegmentation use cases.…
Banking Chatbots: 7 Tools & Use Cases
Industries that prioritize customer service face rising costs as demand for excellent service grows. Banking chatbots let customers complete transactions by voice or text, reducing operational costs and improving customer satisfaction. We compiled the top 7 chatbots with financial literacy, including their features, comparisons, and best practices for deployment to address cost and service concerns.…
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