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
Top Open Source UEBA Tools & Commercial Alternatives
At their core, UEBA solutions identify patterns in data, whether from real-time streams or historical datasets. After reviewing the documentation for each open-source UEBA framework and tool, I selected the leading open-source behavior analytics technologies that provide standard SIEM-like capabilities, alerting, support for the MITRE ATT&CK threat intelligence framework, and API-based ingestion from data sources.…
Top 14 Intrusion Detection and Prevention (IDPS/IPS) Tools
At its core, intrusion detection and prevention systems (IDPS) monitor networks for threats, alert administrators, and prevent potential attacks. We listed the best commercial IDS/IPS tools and open source alternatives based on their categories, detection types, and pricing. These vendors provide a security package with enterprise-grade automation, ready-made dashboards, and out-of-the-box integration, along with an…
Best Design to Code Tools Compared: Detailed Analysis
Design-to-code tools have changed more in the past 18 months than in the decade before that. The category used to mean “export some CSS from Figma.” Now it spans full-stack app builders, bidirectional MCP integrations that write back to the canvas, and agentic platforms shipping production branches from Slack messages. The tools on this list…
Agentic Mesh: The Future of Scalable AI Collaboration
Theoretical discussions around AI agents dominate the market, but production implementations lag behind. McKinsey introduced the agentic mesh to solve this gap, yet real-world deployments still hit severe bottlenecks in integration, agent isolation, and operational reliability.17 Below, we analyze these live failure points and demonstrate how an event-driven mesh architecture enables controlled scaling at enterprise…
Top 13 Data Center Automation Tools & Case Studies
Data center automation tools can help maintain high-quality data, make informed data-driven decisions, and streamline the automation of data center processes. We picked 10 data center automation tools based on the tools’ features, market presence and best use case. Follow the links to discover these tools’ case studies and benefits: We aim to inform IT…
Top 12 Patch Management Software Including NinjaOne
Unpatched systems are low-hanging fruit for attackers. A single outdated server or forgotten workstation becomes an entry point. Patch management software automates the process of finding, testing, and deploying updates before vulnerabilities turn into breaches. *Based on the total number of reviews and average ratings (on a 5-point scale) from leading software review platforms. See…
Top 10+ SAP Workload Automation Tools
According to SAP Corporate Fact Sheet, 99 of the top 100 global organizations use its ERP software, representing 87% of worldwide commerce.47 Many of these companies also run non‑SAP systems alongside SAP. SAP workload automation tools solve this by automating tasks such as batch jobs, data transfers, report generation, and cross‑system workflows. Follow the links…
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.…
Top 10 Google Colab Alternatives
Google Colaboratory is a popular platform for data scientists and machine learning scientists, but its limitations and pricing may not meet your needs. Several alternatives offer unique features and capabilities that cater to different data science needs and scenarios. Follow the links to see the top Google Colab alternatives: Cloud-based platforms offer scalable and flexible…
AI Agent Tools: Comparison of 15+ Platforms
An AI agent reads context, picks a tool, acts, and checks the result before choosing the next step. That loop separates an agent from a chatbot. Agents work as co-pilots: they research, draft, and execute, and a person approves anything consequential. The 15 tools below cover four categories: coding agents, enterprise agent platforms, customer service…
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