Cem Dilmegani
Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, and Washington Post, global firms like Deloitte and 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 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
Compare Large Vision Models: GPT-4o vs YOLOv8n
Large vision models (LVMs) can automate and improve visual tasks such as defect detection, medical diagnosis, and environmental monitoring. We benchmarked three object detection models: YOLOv8n, DETR, and GPT-4o Vision, across 1,000 images each, measuring metrics such as mAP@0.5, inference speed, FLOPs, and parameter count. To ensure a fair comparison, all images were resized to…
20 Strategies for AI Improvement & Examples
AI models require continuous improvement as data, user behavior, and real-world conditions evolve. Even well-performing models can drift when the patterns they learned no longer match current inputs, leading to reduced accuracy and unreliable predictions. Changes in regulations, product requirements, or customer expectations can also introduce new constraints that existing models were not designed to…
Top 3 MFT Platforms With Distinctive AI Features
We analyzed AI MFT vendors based on customer reviews, protocol support, and documented AI capabilities. The focus is on features that technical teams can validate through product pages, documentation, and marketplace listings. JSCAPE by Redwood takes a straightforward approach: SLA monitoring and early-warning alerts, with AI sitting in the Redwood platform layer rather than inside…
Top 7 GoAnywhere Alternatives
GoAnywhere is a secure file transfer platform used by enterprises to exchange data securely. Whether you’re in search of more advanced features, diverse pricing options, or superior customer service, our curated list of alternatives offers the insights you need to make a well-informed choice. We prepared an overview of the top alternatives to GoAnywhere MFT,…
MFT Pricing: Comparison of Top 3 MFT Vendors' Pricing
Managed File Transfer (MFT) solutions vary widely in terms of pricing, depending on the features and deployment options you choose. Before comparing specific vendors, it’s worth understanding the three main pricing structures you’ll encounter in the MFT market. One structural shift worth noting: several vendors, including Cerberus, offer multi-year subscription terms with meaningful discounts. Cerberus’s…
8 Network Monitoring Use Cases with Real-Life Examples
Network monitoring is one of those things that IT teams only notice when it is missing. When it works well, problems get caught before users know anything is wrong. When it is absent, a minor connectivity issue can quietly escalate into a major outage. See our examples below to show how organizations are actually putting…
Enterprise Generative AI: 11 Use Cases & Best Practices
Generative AI (GenAI) presents novel opportunities for enterprises compared to middle-market companies or startups, including: However, generative AI brings challenges unique to large organizations. For example: Explore our practical enterprise AI use cases to learn how large companies can build, deploy, and govern their own generative AI models effectively. The web is full of B2C…
Generative AI in Retail: 7 Use Cases & Examples
Retail businesses strive to enhance customer experiences and loyalty. This requires producing attractive content in various formats, effective marketing efforts, and exceptional customer service. With generative AI, retailers can address most of these issues through automation, particularly by enhancing their ability to analyze customer data to deliver more personalized experiences. See the examples and benefits…
Cloud LLM vs Local LLMs: Examples & Benefits
Cloud LLMs, powered by advanced models like GPT-5.5 and Claude Opus 4.7, offer scalability and accessibility. Conversely, Local LLMs, driven by open-source models such as Llama 4, DeepSeek V4, and Qwen3.6-Plus, ensure stronger privacy and customization. Explore what are cloud LLMs, strengths and weaknesses, most common case studies with real-life examples, and how they differ…
Compare 10+ Enterprise Password Management Tools: Features, Pricing
Enterprise password management spans business password managers and privileged access / secrets management platforms offered by top enterprise password management products. We compiled top 11 password management solutions with differentiating features and pricing information: The table omits capabilities present in every product, such as AES-256 encryption, role-based access control, multi-factor authentication, audit logging, and REST…
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