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
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.
Chatbot vs ChatGPT: Differences & Features
When people search “chatbot vs ChatGPT,” they’re asking if ChatGPT is fundamentally different from traditional chatbots. It is. Calling ChatGPT a chatbot is like calling a smartphone just a phone, technically accurate but missing critical distinctions. Let’s clear up what separates traditional chatbots from ChatGPT, and why it matters for anyone choosing between them.
2026 Web Crawler Guide: From Indexing to Agentic Intelligence
Have you ever wondered how search engines such as Google and Bing collect all the data they present in their search results? Search engines index all the pages in their archives so they can return the most relevant results for queries. Web crawlers enable search engines to handle this process.
10 eCommerce Data Collection Best Practices & Examples
As online shopping grows and customer expectations shift, eCommerce businesses face increasing pressure to stay competitive. Real-world data is key to making faster, smarter decisions. Failing to collect and utilize data properly can result in missed sales, inefficient operations, and poor customer retention.
Top 5 AI Network Monitoring Use Cases and Real Life Examples
Network downtime costs enterprises an average of $5,600 per minute, yet traditional monitoring tools generate so many alerts that engineers miss the ones that matter. AI-driven monitoring addresses this by correlating data across the full network stack and surfacing root causes rather than symptoms.
Top 10 Price Monitoring Tools
Price monitoring tools track competitors’ prices to enable pricing strategies that respond to market changes and stay competitive as conditions shift. Explore the top 10 price monitoring tools, review their key features and pricing models, and learn how they can enable pricing strategies that respond to market changes.
Explore Top 10 Privacy Enhancing Technologies
Even with regulations like GDPR and CCPA, consumer data is often exposed to hackers, companies, and governments. As businesses share data with third parties to improve network visibility, the risk of leaks grows. Privacy Enhancing Technologies (PETs) help companies use this data while keeping personal or sensitive information private, boosting both compliance and corporate reputation.
DAST: 7 Use Cases, Examples, Pros & Cons
DAST’s ability to mimic real-world cyberattacks and expose vulnerabilities in real time makes it a valuable asset in the cybersecurity toolkit. As seen in the graph, the popularity of DAST has increased significantly in the last five years.
Top 10 Sophos Competitors & Alternatives
Sophos is a popular player in the DLP software and cybersecurity markets. However, our analysis identified some shortcomings of its products. Based on our DLP benchmark of the top 6 DLP products, we identified the top Sophos competitors to assist businesses in finding the best DLP software.
CRM AI Systems: Top 5 Vendors and Key Features
We tracked 50+ product announcements from major CRM vendors, analyzed integration launches from Salesforce, HubSpot, and Microsoft, and cross-referenced adoption data from 15+ industry research reports to understand which AI CRM features actually deliver value versus marketing hype.
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