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
Top 10 Open source / Free DAST Tools Compared
We relied on our research on vulnerability scanning tools and DAST to select leading open-source DAST tools and free versions of proprietary DAST software. See our rationale by following the links on product names: As the cost and frequency of cyberattacks increase, businesses are increasingly adopting DAST tools to enhance their security posture. Open source…
Top 10 Voice Recognition Tool & Applications
If you’ve used virtual assistants like Alexa, Cortana, or Siri, you’re likely familiar with speech recognition and conversational AI. This technology enables users to interact with devices through verbal commands by converting spoken queries into machine-readable text. Explore the top 10 uses of voice recognition technology in voice search, customer service, healthcare, and other areas.…
Large Action Models: Hype or Real?
Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring users to click on apps or integrate APIs. The line between hype and reality…
GPT-5 Model Family: Features, Benchmarks & Pricing
OpenAI released the GPT-5.6 model family on July 9, 2026. The family includes GPT-5.6 Sol for complex reasoning and professional workflows, GPT-5.6 Terra as a balanced option, and GPT-5.6 Luna for faster, cost-sensitive workloads. We examine their specifications, published benchmark results, pricing, availability, and differences from previous GPT models. The three GPT-5.6 models use the…
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. As adoption accelerates, AI is…
AI in Sales: 15 Use Cases & Examples
Artificial intelligence can enhance sales processes from lead generation to sales forecasting, helping businesses overcome low conversion rates and long sales cycles. Check out AI in sales use cases structured around key sales activities to show how sales AI tools can accelerate the sales cycle and enhance sales effectiveness: Sales forecasting is crucial in the…
Generative AI in Fashion: Top 13 Use Cases & Examples
89% of all companies across different sectors are switching to digital technologies, and the generative AI in the fashion industry is not an exception. McKinsey reports that fashion brands and companies invested approximately 2% of their income in emerging technologies. Moreover, they estimate the figure will rise to 3.5% by 2030. Blockchain technology, non-fungible tokens…
Top 3 Prolific Alternatives
We analyzed Prolific’s top alternatives by comparing participant ratings, crowd size, payment terms, and verified platform data. The right alternative depends on whether you’re a worker looking for tasks or a research buyer looking for data the tradeoffs differ significantly between the two. This section compares Prolific’s alternatives based on criteria useful to its participants…
Top 6 Data Collection Methods for AI and Machine Learning
While some companies rely on AI data collection services, others gather their data using scraping tools or other methods. See the top 6 AI data collection methods and techniques to fuel your AI projects with accurate data: Data crowdsourcing involves assigning data-collection tasks to the public, providing instructions, and creating a platform for sharing. Businesses…
Azure Logic Apps: 10 Real-Life Use Cases
Businesses face integration challenges across legacy and cloud systems. Azure Logic Apps offers an integrated platform for AI‑driven automation and intelligent orchestration, including multi‑agent workflows and connection to Azure AI services such as the Foundry Agent Service. As Azure Logic Apps offer various services, users may get confused about which one to use and when.…
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