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
Pros & Cons of Top 6 RPA Alternatives to Consider
Robotic Process Automation (RPA) is a beneficial technology that can automate up to 70-80% of rules-based processes. However, ~40% of companies fail to reach their expectations of cost reduction after RPA implementation.
Top 7 Meter-to-Cash Solutions: A Comprehensive Guide
In the utilities sector, the meter-to-cash process is essential for revenue generation and efficient operations. It involves numerous intricate steps and systems. Meter-to-cash solutions have emerged as an indispensable tool for utility providers. Selecting the right vendor for meter-to-cash solutions can be difficult since there is little information about them.
Synthetic Users Explained: Top 7 AI User Research Tools
Traditional research requires weeks of finding participants, scheduling interviews, and analyzing results manually. Synthetic user platforms enable teams to create thousands of realistic user profiles instantly, allowing them to test ideas, messaging, and user flows.
XR/AR in Manufacturing: 7 Use Cases with Examples ['26]
Extended reality (XR) technologies are increasingly adopted in manufacturing. Utilizing VR/AR technology in the manufacturing sector can provide a $360 billion boost to GDP by 2030. VR/AR solutions are still far from widespread adoption, and business leaders might be unaware of the use cases and benefits of implementing AR/VR in manufacturing operations.
Types of Virtual Reality & Use Cases in 2026
The virtual reality (VR) market has grown significantly, increasing from $6 billion in 2020 to $21 billion in 2025. The COVID-19 pandemic had a notable impact on VR usage, with 71% of users reporting they spent more time using VR during that period. Businesses have also accelerated their adoption of VR technologies.
Top 30+ Cloud Cost Management Tools: Focus & Pricing
Cloud spending is often one of the fastest-growing costs for modern businesses. However, more than 80% of organizations consider managing cloud costs their top challenge. We provide concise comparisons and actionable information to make evaluating and selecting the right cloud cost management tools faster and easier for your organization.
Top 20 RPA SAP Use Cases & Examples
SAP is one of the oldest and most valuable ERP systems, with ~ €31 billion in revenue. Though an ERP suite offering automation in many areas, most SAP processes are manual and repetitive, such as accounting processes, transaction management, and reporting.
Data Loss Prevention (DLP): Types & 5 Challenges
The increased mobility introduces risks of data loss or theft, which can lead to severe financial losses and reputational damage for companies. Effective Data loss prevention (DLP) software needs to prevent the unauthorized movement of private data and personally identifiable information (PII) to limit reputational and financial risk.
Responsible AI: 4 Principles & Best Practices in 2026
AI and machine learning are revolutionizing industries, with 90% of commercial apps expected to use AI by 2025 as AI statistics shows. Despite this, 65% of risk leaders feel unprepared to manage AI-related risks effectively.
How to Implement Proxy Scraping Services
Websites track the IP address of every incoming request, and a high volume of traffic from a single IP is the signal of an automated bot. The solution is a proxy. A proxy server is an intermediary that stands between your scraper and the target website, forwarding your requests while masking your real IP address.
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