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
45 Statistics, Facts & Forecasts on Machine Learning
Machine learning is the study of computer algorithms that learn through data. Machine learning is regarded as a subset of artificial intelligence. Surveys and market research are the best way to understand the overall view of the machine learning market, as numbers can reveal key metrics, from the market’s importance to its challenges.
TinyML(EdgeAI): Machine Learning at the Edge
Applications of edge analytics transforming industries and the edge computing market is expected to reach ~$350 by 2027. However, the current approach to edge analytics involves machine learning models trained on the cloud. This introduces latency to the system and is prone to privacy issues.
Top 20+ Synthetic Data Use Cases
Synthetic data is gaining widespread popularity and applicability across industries, including machine learning, deep learning, and generative AI (GenAI). Synthetic data offers solutions to challenges such as data privacy concerns and limited dataset sizes. It is estimated that synthetic data will be preferred over real data in AI models by 2030.
Compare Email Marketing Pricing: Top 15 Providers
Choosing an email marketing service that fits your budget is key to effective campaigns. Basic plans often include features such as email design tools, contact management, and limited automation, making them ideal for small businesses. Higher-tier plans offer advanced automation, segmentation, analytics, and integrations, making them suitable for larger enterprises.
Best Data Collection Services & Companies
AIMultiple collects data on hundreds of thousands of B2B vendors from the web and surveys. Based on our experience, if you are looking for data to Top 12 AI data collection services Despite the efficiency of web data collection and synthetic data generation, human-generated data remains essential for AI development.
10 GAN Use Cases
Generative AI is one of the latest famous technologies with the capability of realistic images, textual and auditory content in a matter of minutes. Gartner predicts that by 2025, 10% of all generated data will be produced by generative AI.
Top 5 NGFW Use Cases with Case Studies
The market for next-generation firewalls (NGFWs) is rapidly expanding, with an anticipated compound annual growth rate of ~11% between 2023 and 2028, increasing from $5 billion to $8.6 billion. As organizations seek advanced security solutions to combat evolving cyber threats, NGFWs are becoming essential.
Top 10 SFTP Server Software
Selecting the right SFTP server software is essential for maintaining secure and efficient file transfers within an organization. We conducted a managed file transfer (MFT) benchmark across various features and scenarios to identify the leading SFTP server software providers.
Top 8 HIPAA Compliant File Sharing Services
Healthcare organizations require managed file transfer solutions that comply with HIPAA requirements while ensuring the secure handling of sensitive patient data. We analyzed solutions based on security certifications, enterprise adoption, and HIPAA-specific features to identify the leading options. Top HIPAA-compliant file-sharing services * Ratings are based on Capterra and G2.
Top 13 Supply Chain AI Use Cases with Examples
The global supply chain management market is projected to reach nearly $31 billion by 2026, reflecting its growing importance across various industries.Yet despite this rise, recent disruptions, such as the COVID-19 pandemic and ongoing geopolitical tensions, have exposed deep vulnerabilities in supply chains, resulting in costly delays and operational inefficiencies.
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