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
RPA for Mac: 12+ RPA tools That Can Run on Mac
Most RPA tools were built for Windows, since Windows runs the majority of enterprise desktops. Macs have gained ground. They now make up over 15% of desktop operating systems worldwide and more than 24% in the U.S.1 That shift pushed vendors to support macOS. See the following sections for more information: We have curated a…
Top No-Code ML Platforms: ChatGPT Alternatives
We benchmarked 3 no-code machine learning platforms across key metrics: data processing (handling missing values, outliers), model setup and ease of use, accuracy metrics output, availability of visualizations, and any major limitations or notes observed during testing. Note: Scores represent average performance across kNN and Logistic Regression where applicable. Results may vary based on dataset…
Bias in AI: Examples and 6 Ways to Fix it in 2026
Interest in AI is increasing as businesses witness its benefits in AI use cases. However, there are valid concerns surrounding AI technology: To see if there would be any biases that could arise from the question format, we tested the same questions in both open-ended and multiple-choice formats. We found that when open-ended questions were…
7 Useful AI Transformation Strategies in 2026
Before choosing how to transform AI, leaders need to know where to start. We analyzed the Anthropic Economic Index (March 2026 release)35, mapping over 1 million real-world Claude interactions across 3,260 occupational tasks to the standard APQC Process Classification Framework (PCF).38 Check out high, mid, and granular-level processes by real-world AI exposure and human verification…
Handwriting Recognition Benchmark: LLMs vs OCRs
OCR tools achieve over 99% accuracy on typed text in high-quality images. However, handwriting remains challenging due to variations in style, spacing, and irregularities. We introduce a cursive handwriting benchmark with 100 handwriting samples written by our team to prevent overfitting. In this benchmark, GPT-5, Gemini 3 Pro Preview, and olmOCR-2-7B-1025-FP8 are the top-performing models,…
Analysis of Top 4 Open Source NGFWs Based on Features
Teams using NGFWs, AI-driven security, and automation save ~$2M more than those using traditional tools. See open source NGFW as a cost-effective network security solution for comprehensive security: Table 1. Key features For details of key features of open source NGFW and their importance, check the ngfw features. Table 2. Market presence *Based on data…
7 Network Security Use Cases
Network security protects the systems, traffic, and accounts that run an organization. We examine seven network security use cases each a real-world example, ranging from detecting insider threats to managing privileged access. Malicious insiders account for a large share of reported security incidents,69 making it hard to distinguish normal activity from harmful activity, since these…
WLA Migration in 2026: Best Practices & Vendor Approaches
67% of organizations are transitioning to more functional workload automation tools, as the right choice can improve operational efficiency by 56% and reduce costs by 39% according to the State of IT Automation Report.81 Explore workload automation (WLA) migration, best practices, what to pay attention to, and the differing approaches from different vendors. WLA (Workload…
Top 10 Voice Recognition Tool & Applications
If you’ve used virtual assistants like Alexa, Cortana, or Siri, you’re likely familiar with speech recognition and conversational AI. This technology enables users to interact with devices through verbal commands by converting spoken queries into machine-readable text. Explore the top 10 uses of voice recognition technology in voice search, customer service, healthcare, and other areas.…
No-Code AI: Benefits, Industries & Key Differences
No-code AI tools allow users to build, train, or deploy AI applications without writing code. These platforms typically rely on drag-and-drop interfaces, natural language prompts, guided setup wizards, or visual workflow builders. This approach lowers the barrier to entry and makes AI development accessible to users without a programming background. Recently, no-code AI has expanded…
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