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
DGX Spark vs Mac Studio & Halo: Benchmarks & Alternatives
NVIDIA’s DGX Spark entered the desktop AI market in 2025 at $3,999, positioning itself as a “desktop AI supercomputer”. It packs 128GB of unified memory and promises one petaflop of FP4 AI performance in a Mac Mini-sized chassis. See the benchmark results on value and performance compared to alternatives: Competitive analysis: DGX Spark vs.
AI Ethics Dilemmas with Real Life Examples in 2026
Though artificial intelligence is changing how businesses work, there are concerns about how it may influence our lives. This is not just an academic or societal problem, but a reputational risk for companies; no company wants to be marred by data or AI ethics scandals that damage its reputation.
Top 5 ZTNA Open Source Components in 2026
ZTNA open-source tools offer a cost-effective way to authorize access at each layer, securing remote access to resources.
Top 5 Open-Source Agentic AI Frameworks in 2026
We reviewed several popular open-source agentic AI frameworks, examining their performance, multi-agent orchestration capabilities, agent and function definitions, memory management, and human-in-the-loop features. To evaluate their performance, we implemented four data analysis tasks on each framework: logistic regression, clustering, random forest classification, and descriptive statistical analysis.
Instagram Chatbots: Top 5 Vendors & Use Cases in 2026
Instagram reached 3 billion monthly active users in September 2025, according to Meta CEO Mark Zuckerberg. The platform generated $37.2 billion in social commerce revenue in 2024, and 44% of active users shop weekly using Shopping Tags and the Shop tab. U.S.
WLA Migration in 2026: Best Practices & Vendor Approaches
Organizations reconsider replacing their existing workload automation tools, with many actively exploring or transitioning to new solutions. The right workload automation solutions can provide immediate gains in scalability, reliability, and integration capabilities. Explore workload automation (WLA) migration, best practices, what to pay attention to, and the differing approaches from different vendors.
17 Generative AI Healthcare Use Cases in 2026
Healthcare systems are facing increased data volumes, staff shortages, and rising expectations for personalized care. Generative AI is emerging as a key solution by synthesizing unstructured medical data, such as clinical notes, imaging reports, and patient histories, into insights for clinicians and administrators.
Top 6 Log Analysis Software Including Solarwinds in 2026
When servers crash at 3 AM or applications start throwing errors, teams need to quickly understand what went wrong. Log analysis platforms help by collecting scattered log files from different systems and making them searchable in a single location.
Agentic AI n8n Tutorial in 2026
We built an AI agent within n8n designed to provide investment advice, showcasing the platform’s capabilities for agentic AI. This n8n tutorial involved configuring the agent to perform technical and fundamental stock analysis by integrating 5 distinct tools and pulling financial data from various APIs.
10+ Agentic AI Trends and Examples for 2026
We reviewed and compared Agentic AI trends from several major industry reports, benchmarks, and vendor disclosures. The sources point out that the future of agentic AI isn’t just about improving tools or streamlining business workflows. It’s about integrating AI deeply and transforming business approaches by restructuring current frameworks.
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