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 7 Enterprise eCommerce Platforms: Features & Pricing
Enterprises need these eCommerce capabilities: We selected the top 7 enterprise eCommerce platforms based on their capabilities listed above.
Top 12 Use Cases of RPA in Procurement Process
Chief procurement officers (CPOs) are pessimistic about the supply chain volatility index of 2024 pointing a huge and increasing volatility in 2024. A remedy is a more robust procurement process that keeps the business ahead of the market and geopolitical dynamics.
The Best 10 AI Code Review Tools: Pricing and Features
AI code review tools are now more crucial than ever, with the rise of AI coding tools. Users often lose control over their codebase when they are “vibe coding“, but it can lead to significant vulnerabilities.
Image Recognition vs Classification: Applications with Examples
Businesses increasingly leverage AI-powered visual data solutions, but confusion between image recognition and classification leads to inefficiencies. Understanding the key differences helps businesses optimize AI deployment in the security, healthcare, and retail fields. Explore image recognition vs classification, their key differences, and applications with real-life examples.
Future of Management Consulting: Will AI disrupt MBB?
Management consulting is one of the largest industries in the world with the industry leader McKinsey estimated to be making >$10 billion. McKinsey has survived numerous disruptions since its founding in 1926.
Top 10 Open-Source CSPM Tools for Data Security
Open-source cloud security posture management (CSPM) tools enable continuous monitoring, assessment, and management of your cloud environments, such as Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). Discover open-source CSPM tools, compare their usability and features: Market presence Tools are sorted based on GitHub stars in descending order.
Top 3 Web Scraping Use Cases for Marketing
Web scraping enables many decision-making processes to become more data-driven. Especially in marketing, web scraping has numerous applications, but the variety of use cases can also make it more challenging to gauge which ones apply for your business and would be more beneficial.
Healthcare Market Research: 10+ Trends & Real-Life Examples
By understanding consumer experiences and expectations through market research, businesses can improve these journeys, enhancing overall satisfaction and trust in healthcare services. This approach can lead to tailored solutions that effectively meet consumer needs and streamline their healthcare experiences.
Quantum Entanglement: What is it & Why is it Important ?
Various industries are trying to solve time and processing power consuming problems using quantum computers to unlock valuable applications of quantum computing. The phenomena of quantum entanglement comes useful to cut down on the time and computing power to process information transfer between qubits. Entanglement enables tasks such as quantum cryptography, superdense coding, and teleportation.
What is Model Drift? Types & 4 Ways to Overcome
Based on my 2 decades of experience helping enterprises adopt advanced analytics solutions, model drift is the largest reason for production model performance declines. Businesses are able to move only a small share of their AI models to production. And then within 1-2 years, performance of most models deteriorate due to model drift.
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