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 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
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,…
UiPath Pricing: RPA Pricing Models Explained
UiPath is one of the most popular RPA vendors, but RPA pricing structure can be complex. We examined different pricing options to help business and tech leaders understand UiPath’s pricing and secure a high-ROI RPA solution through their UiPath partnership. We analyzed UiPath pricing plans and licensing documentation to provide you with a clear overview…
Best Open Source RPA Tools
Open source RPA (Robotic Process Automation) can still play an important role in the future of automation. Its main advantages are transparency, flexibility, and the absence of licensing costs. Below, we list six open-source RPA tool options and link to their source code. For a starting point, see our data-driven guides on Python RPA tools,…
SCADA Systems: Comparison of Top 10 SCADA Software
Supervisory Control and Data Acquisition (SCADA) systems form the operational backbone of industrial infrastructure. But choosing a platform is a long-term commitment. These systems often run for 10 to 20 years, and the full cost of owning one is high. This makes the choice hard to reverse. We compare 10 major SCADA systems across licensing…
Top 8 Open Source AI Coding Agents
In prior evaluations, we benchmarked both open-source and proprietary Agentic CLIs, focusing on their performance in web development tasks, and some open-source agents performed as successfully as the paid options. Therefore, we also listed the top open-source coding agents for users with privacy concerns. For methodology, see the AI coding benchmark. For more details about…
Compare Top 7 Meter-to-Cash Solutions
Utilities must accurately track energy consumption, generate bills, and collect payments across millions of customers. However, fragmented systems, legacy infrastructure, and complex billing processes can make the meter-to-cash (M2C) cycle inefficient and error-prone. Meter-to-cash solutions help utilities automate the entire process from meter data collection to invoicing and payment reconciliation, improving billing accuracy, operational efficiency,…
Top 7 Alternatives to Automic Automation
Automic Automation is a prominent workload automation tool in the WLA market. However, given businesses’ unique and often niche requirements, it is essential to explore several alternatives. Assess each competitor’s user reviews and indicators of their market presence to determine their strengths and benefits: * See sections below for each product for rationale Automic Automation,…
Building AI Agents with Composable Patterns
We spent 3 days experimenting with workflows and agent pipelines in n8n, following Anthropic’s and OpenAI’s guides on building effective AI agents. Explore the core AI agent components, how to choose the right components and tools, in addition to building agent workflows based on Anthropic’s simple, composable patterns such as prompt chaining, routing, parallelization, orchestrator…
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, multi-sensory 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.…
30+ Industrial AI Agents to Watch
Industrial AI agents address the limitations of siloed data by autonomously integrating and deriving actionable insights from IoT, controls systems (e.g. SCADA), and connected assets. Below is a categorized review of over 30 key vendors offering AI agent platforms and tools: To explore each section and discover the relevant vendors, tools, platforms, capabilities, and focus…
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