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
Top 12 Open Source Job Schedulers & 5 WLA Tools
Businesses leverage open source job schedulers and workload automation tools to automate IT tasks without paying licensing costs or getting locked in to a specific vendor. See top open-source job schedulers with their GitHub links, license types, and GitHub stars: The following is a sortable list of the top open-source job schedulers and WLA tools:…
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…
Scrape Data from Twitter (X.com) with Python
Social media platforms, such as X.com, employ strict anti-scraping defenses, including CAPTCHA, rate limits, and IP blocking. These security measures make building a custom scraper from scratch both difficult and prone to frequent interruptions. This guide uses the Twitter scraper API, which enables reliable, compliant scraping of Twitter data by managing proxy rotation and ethical…
The Most Common Web Scraping Challenges in 2026
Web scraping has become more difficult in recent years. Since 2025, AI-related scraping has raised significant legal concerns. Platforms and infrastructure providers have adopted new methods to control AI crawlers and manage data collection. There are many technical challenges that web scrapers face due to the barriers set by data owners or website owners to…
Axway MFT: A Comprehensive Guide in 2026
Managed File Transfer (MFT) solutions handle secure data movement between systems. Traditional protocols such as FTP and HTTP lack the security and compliance features that modern enterprises require. Axway is part of 74Software, formed through the combination of Axway and Sopra Banking Software, serving over 11,000 companies globally, including 1,500+ financial service customers. Our analysis…
DLP Pricing: Compare Top 3 Vendors
A data loss prevention (DLP) software offering features similar to those of another can be twice as expensive. We analyzed the pricing & packages of 8 DLP tools. Save on the total cost of ownership by comparing the pricing for some of the top DLP software: * The top 3 solutions that offered pricing information…
Top 10+ AI Agents in Healthcare with Examples
We previously explained healthcare AI use cases. We list AI agents for healthcare that automate clinical operations workflows. Explore AI agents in the healthcare industry, including tools used for general tasks, patient-facing support, and clinically assisted decision-making: These agents automate administrative and operational tasks (e.g., scheduling, medical coding, and office operations). They do not provide…
Top 17 AgentOps Tools: AgentNeo, Langfuse & more
AgentOps refers to tools and platforms for deploying, monitoring, and managing AI agents in production. See leading AgentOps tools, the challenges of operating agents, and how an AgentOps automation pipeline can address them through observability, metrics, and issue detection: For the remainder of this discussion, the term “agent” refers specifically to LLM-based agents. Agent-first tools…
RMM Pricing in 2026: 10 Products Analyzed
RMM tools don’t make pricing easy to compare. Some charge per device, some per technician, and the difference adds up fast depending on how your team is structured. We reviewed 10 pricing models and put together a calculator so you can run the numbers for your setup. These calculations assume one technician manages 200 endpoints…
Top 12 RPA Software & Their Features
Based on our experience with RPA software during our RPA benchmark as well as external market presence metrics like number of reviews and employees, we selected the leading and emerging RPA providers. Below is a summary of the availability of on-premises deployment and built-in process mining features across the top 12 RPA software solutions. Built-in…
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