
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
Top 10 Mobile Device Management Software with Prices
Companies are expected to maintain an efficient and safe IT environment. In contrast to on-premise work environments, remote and hybrid work require careful IT configuration, with a special emphasis on mobile devices. Mobile Device Management (MDM) software competes in terms of security, ease of use, granular control, scalability, and pricing models.
Top 10 DAST Best Practices
With 42% of companies suffering from external attacks attributed to vulnerabilities in software security, Dynamic Application Security Testing (DAST) is a valuable technique for businesses to identify vulnerabilities before attackers do. By emulating real-world cyberattacks and identifying vulnerabilities in real-time, DAST tools provide a layer of defense against such vulnerabilities.
Top 10 Open-source Help Desks Based on GitHub Stars
Providing robust customer support is critical since ~70% of customers expect immediate service.However, managing an increasing volume of inquiries and issues can quickly overwhelm support teams. Help desk software can automate service operations, addressing customer concerns promptly. While paid help desk solutions offer more tailored features, several businesses may find them cost-prohibitive.
Procurement Software Comparison, Testing & Benchmarking
Procurement software solutions are designed to streamline the purchasing processes of businesses. However, the vast array of procurement software options available on the market can make selecting the most suitable solution for a business challenging.
40+ Agentic AI Use Cases with Real-life Examples
Autonomous generative AI agents execute complex tasks with little or no human supervision. Agentic AI differs from chatbots and co-pilots. Unlike traditional AI, particularly generative AI, which often requires human intervention in complex workflows, agentic AI can autonomously navigate and optimize processes thanks to its decision-making capabilities and goal-directed behavior.
Compare 10+ AI Help Desk Tools
Based on user reviews and our help desk pricing research, we reviewed top 10+AI help desks including Freshdesk, Zendesk Support Suite and Tidio. See their AI features, pros and cons: Compare AI help desk software: Insights come from our experience with these solutions as well as other users’ experiences shared in Capterra , G2, and TrustRadius.
Best 5 Help Desk Plans by Pricing Tier
Help desk software pricing varies significantly based on the number of users, included features, and contract length.
Compare 50+ AI Agent Tools
Over the past few months, we have been conducting AI coding and tools use benchmarks to test the real-world capabilities of popular AI agents.
Top 15 ITSM Case Studies
Leveraging IT Service Management (ITSM) tools is essential for businesses aiming to increase efficiency of their IT operations and enhance service delivery.
Top 10 AI in ITSM Use Cases & Examples
Leveraging AI for IT service management (ITSM) tools supports organizations in terms of: See the top 10 use cases of AI in ITSM, examples, and benefits of leveraging AI in ITSM. Task management 1.
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