
Cem Dilmegani
Cem has been the principal analyst at AIMultiple for almost a decade.
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, automation, cybersecurity (including network security, application security), data collection including web data collection and process intelligence.
Cem's hands-on enterprise software experience contributes to his work. Other AIMultiple industry analysts and 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 (September 28, 2017). 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
Conference & other event presentations
- 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 (March 10, 2023): 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
50 ChatGPT Use Cases with Real Life Examples
Artificial Intelligence (AI) represents one of the most transformative technologies of our era, with business leaders recognizing its profound impact on operations and productivity. Generative AI models are facilitating numerous tasks, enabling efficiency and automation. ChatGPT is the prominent generative AI Large Language Model (LLM) and receives 1.7 billion visits/month.
GPT-5: Best Features, Pricing & Accessibility
We now have GPT-5, the latest and one of the most advanced language models. To have a better understanding of this new language model, we provide an in-depth guide focusing on its use, training, features, and limitations: GPT-4 vs.
Test Automation Documentation with Best Practices
Test automation is vital for ensuring the quality and reliability of applications in software testing and development. Businesses and QA teams are transitioning from manual testing to automation testing as it can: What often goes overlooked is the role of effective documentation in maximizing the benefits of test automation.
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.
Top 10 ChatGPT Education Use Cases
Teachers and lecturers across many educational levels are afraid of ChatGPT‘s possible negative impacts on academic integrity. They fear that the chatbot is going to increase plagiarism and spread academic dishonesty.
Generative AI in Life Sciences: Use Cases & Examples
Large language models, as part of generative AI, can predict protein structures and characteristics for use in healthcare and other industries. Generative AI in life sciences is transforming the field, driving advancements in drug discovery, personalized medicine, and diagnostics.
Guide To Machine Learning Data Governance
In this article, we explain machine learning data governance. We explain its key principles, benefits, use cases, best practices, and our future expectations of data governance.
How to Create Ordinal Inscriptions: Step by Step Guide
Creating NFTs on the Bitcoin blockchain can be complex due to limited wallet support, technical steps, and high transaction fees. As ordinal inscriptions, also known as Bitcoin NFTs, gain popularity, understanding how to create and manage them has become essential.
Top Python RPA Tools: Robocorp vs. Selenium
RPA is the third-fastest growing area, following process mining and integration platform as a service (iPaaS). Traditionally dominated by .NET, RPA is expanding with Python-based tools, opening new possibilities for Python developers. Explore the leading Python RPA platforms that enable developers to build effective automation solutions.
Why Cybersecurity in Sports Is More Important Than Ever
At least 70% of sports organizations have experienced cyber incidents or breaches. With cybercriminals targeting: We explore the unique cybersecurity risks facing the sports industry and examine the strategies sports organizations can employ to protect themselves and their stakeholders from cyber threats.
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.