
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
AI HR Analytics: Use Cases, Benefits & Challenges
The integration of AI HR analytics into human resource management is revolutionizing how organizations optimize their workforce and make data-driven decisions. By leveraging artificial intelligence, machine learning, and predictive analytics, HR professionals can move beyond traditional practices to enhance employee experience, operational efficiency, and align HR strategies with overarching business goals.
Top 6 Open-Source Data Governance Tools
Open source data governance tools with data cataloging capabilities help collect, process, and maintain metadata, serving as a central repository for tracking data operations. Organizations use these tools in data security posture management (DSPM), data discovery, data lineage, and data quality initiatives.
Top 6 Open Source Sensitive Data Discovery Tools
Based on features and user experiences shared in review platforms, here are the top 6 open-source sensitive data discovery tools: Administrative features Feature descriptions: These functionality (especially data lineage and search capabilities) allow businesses to: Data security features Feature descriptions: Categories and GitHub stars Tool selection & sorting: DataHub DataHub is an open-source unified sensitive
Top 6 Open-Source Log Analysis Tools: Wazuh, Graylog & more
Below I listed top 6 open-source log analysis tools. In evaluating these tools, I focused on key factors such as log collection flexibility, real-time event detection, integration with third-party applications, scalability, and support for various log formats.
Comparison of Top 5 Free Cloud GPU Services
AI and machine learning advancements have surged demand for GPUs, essential for high-performance computing. Dedicated GPU infrastructure requires high capital, but cloud-based services now offer cost-effective access. Free GPU platforms are increasingly vital for researchers, developers, and budget-conscious organizations.
Microsoft Copilot: Review & Top 4 Alternatives
Microsoft Copilot is an AI-powered assistant integrated across Microsoft products to enhance productivity and usability through natural language interactions. Using advanced generative AI models, including GPT-4, Copilot provides assistance in tools like Word, Excel, PowerPoint, Outlook, Teams, and GitHub. It enables tasks such as data analysis, presentation creation, email management, and real-time collaboration.
Top 10 Sensitive Data Discovery & Classification Tools
Based on user experiences shared in review platforms, see the top 10 sensitive data discovery software that helps security teams locate sensitive data stored across databases, applications, and user endpoints: Features of sensitive data discovery software All software support: Read more: Data governance tools, data-centric security software.
Top 15+ Open Source Incident Response Tools
Based on their categories and GitHub stars here are the leading examples of open-source incident response tools that can help you automate the process of detecting and resolving security breaches: See the explanation of incident response tools and pure incident response tools. Incident response tools See the explanation of categories.
Top 6 AI Email Assistant Software
An AI email assistant supports email management processes and helps enhance productivity by automating responses, scheduling meetings, and managing tasks while providing continuous support. We selected the top 6 AI email assistants below based on their capabilities in drafting messages, offering personalized suggestions, and organizing inboxes.
AI Utilities with Top 15 Use cases & case studies
Utility companies face several challenges such as energy cost volatility, supply-chain disruptions, increasing customer demands for decarbonization and clean energy, and the need for personalized experiences. AI adoption can help them streamline operations, optimize resource management, enhance customer interactions, and develop new digital services.
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