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
15+ Use Cases & AI Applications of Augmented Reality
Augmented Reality (AR) is a digital media platform that allows the user to integrate virtual context into the physical environment in an interactive, multidimensional way. Implementing AI enhances the AR experience by allowing deep neural networks to replace traditional computer vision approaches, and add new features such as object detection, text analysis, and scene labeling.
Cloud Inference: 3 Powerful Reasons to Use
Deep learning models achieve high accuracy in tasks like speech recognition and image classification, often surpassing human performance. However, they require large training datasets and significant computational power. Cloud inference provides a scalable solution to handle these demands efficiently. Explore cloud inference, compare it to on-device inference, and highlight its benefits and challenges.
Top 4 Cost-Effective RPA Tools
Operational costs can deter, especially smaller organizations, from investing in RPA and missing out on automation benefits. These costs include licenses for RPA software, RPA programming, and RPA tools.
Responsible AI: 4 Principles & Best Practices in 2026
65% of leaders feel unprepared to manage AI-related risks effectively. Developing and scaling AI applications with responsibility, trustworthiness, and ethical practices in mind is essential to build AI that works for everyone. Explore four principles for responsible AI (RAI) design and recommend best practices to achieve them: Step by step guideline to Responsible AI 1.
ERP Pricing in 2026: 5 Vendors, 5 Models & 6 Factors
ERPs are popular for providing end-to-end solutions, with the ERP market projected to reach ~$52bn in 2024. However, 47% of organizations faced cost overruns in their ERP implementations in 2023, often due to unclear pricing This article explores ERP pricing models, factors influencing costs, and the pricing structures of 5 vendors.
RPA Pricing Compared Across Leading Vendors
We reviewed leading RPA pricing in detail to identify the lowest RPA vendor license fees: See license costs of market-leading solutions for different scenarios with different numbers and types of licenses: RPA pricing calculator Note: We based price estimates on public, verifiable data. Therefore unpublished volume discounts are not included above.
Top Python RPA Tools: Robocorp vs. Selenium
RPA is the third-fastest growing area, following process mining and integration platform as a service (iPaaS). Traditionally dominated by .NET, RPA is expanding with Python-based tools, opening new possibilities for Python developers. Explore the leading Python RPA platforms that enable developers to build effective automation solutions.
Top 7 HIPAA Compliant File Sharing Services
Healthcare organizations require managed file transfer solutions that comply with HIPAA and ensure the secure handling of sensitive patient data. We analyzed solutions based on security certifications, enterprise adoption, and HIPAA-specific features to identify the leading options. Top HIPAA-compliant file-sharing services * Ratings are based on Capterra and G2.
Data Loss Prevention (DLP): Types & 6 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.
SAP Process Orchestration: Top Solutions, Features, Integrations
We examine the core aspects of SAP PO, understanding its functionalities, benefits, and applications in the modern business landscape.
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