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
Why Cybersecurity in Sports Is More Important Than Ever
At least 70% of sports organizations have experienced cyber incidents or breaches. With cybercriminals targeting: We explore the unique cybersecurity risks facing the sports industry and examine the strategies sports organizations can employ to protect themselves and their stakeholders from cyber threats.
Top 14 Intrusion Detection and Prevention Tools in 2026
At its core, intrusion detection and prevention systems (IDPS) monitor networks for threats, alert administrators, and prevent potential attacks. We previously explained real-life use cases of AI IPS solutions.
Unblocker& Proxy Benchmark: 7 Vendors vs ~5k URLs ['26]
AIMultiple web data collection benchmark analyzes leading web unblocker and proxy service providers including residential proxy networks.
Automated Data Collection Tools & Use Cases in 2026
Automated data collection involves using automated systems to gather, process, and analyze information efficiently. Since automated data is produced from multiple sources and comes in various formats, understanding the different types of data and their origins is crucial for effectively implementing data automation.
Informatica Scheduling: Features, Limitations & Use Cases
Informatica Scheduling is a workload automation/job scheduling feature within the data management platform Informatica PowerCenter. To help you leverage its capabilities, we explore Informatica Scheduling in detail below, focusing on its key functionalities, comparative advantages, limitations, and practical applications in workload automation.
Cloud Workload Automation: Top Software & Use Cases
Businesses are increasing their flexibility while managing costs by adopting a hybrid cloud strategy. According to Statista, industries have increased their cloud workloads and had an uptick as a response to the COVID-19 pandemic.
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.
AI Agent Performance: Success Rates & ROI in 2026
The AI agent market reached $5.4 billion in 2024 and is projected to grow at 45.8% annually through 2030. Therefore, companies that master AI agent deployment will see significantly greater investment returns.
Top 10+ Workload Automation Use Cases
When asked, “Which automation technologies are the key drivers of enterprise digital transformation?” 47% of business and IT leaders identified workload automation (WLA) as their top choice, with robotic process automation (RPA) following closely behind.
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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