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 enterprise AI and software.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
- Hosted on American Variety Radio, answering Court Lewis' questions on AGI on April 25th, 2026.
- Answered Korea24's questions on job loss due to AI on November 5th, 2025. Recording available on: 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
20 Chatbot Companies To Deploy in 2026
With 200+ chatbot platforms on the market, the choice isn’t obvious. The right vendor depends on three things: how your team wants to build (drag-and-drop vs. code), which systems you need to connect to, and how much conversation volume you’re actually handling. We compared the 20 most widely used chatbot platforms for building production applications.…
SCADA Systems: Comparison of Top 10 SCADA Software
Supervisory Control and Data Acquisition (SCADA) systems form the operational backbone of industrial infrastructure. But choosing a platform is a long-term commitment. These systems often run for 10 to 20 years, and the full cost of owning one is high. This makes the choice hard to reverse. We compare 10 major SCADA systems across licensing…
Top 3 Prolific Alternatives in 2026
We analyzed Prolific’s top alternatives by comparing participant ratings, crowd size, payment terms, and verified platform data. The right alternative depends on whether you’re a worker looking for tasks or a research buyer looking for data the tradeoffs differ significantly between the two. Prolific alternatives for participants (workers) Prolific alternatives for buyers (customers) Prolific alternatives…
40 IoT Applications & Use Cases
Worldwide annual revenue on IoT in 2033 is expected to be $934B.18 IoT enables a myriad of different business applications. Knowing those IoT examples and use cases can help businesses integrate IoT technologies into their future investment decisions. Explore 40 IoT applications for business leaders to select the correct use case for their IoT implementation:…
Agentic AI for Cybersecurity: 10 Use Cases & Examples
Agentic AI refers to AI systems that combine models like large language models (LLMs) with automated workflows, tool integration, and decision support. These systems assist security teams in SecOps and AppSec by analyzing alerts, automating routine tasks, and supporting investigative work. Agentic AI tools generally operate under human oversight. They do not make fully autonomous…
50+ ChatGPT Use Cases with Real Life Examples
ChatGPT reached approximately 1 billion weekly active users in early 2026 roughly 10% of the world’s population.54 OpenAI surpassed $20 billion in annual revenue for 2025, confirmed by CFO Sarah Friar.55 The Anthropic Economic Index distinguishes two modes of use: augmentation, in which a human interacts with AI, and automation, in which AI completes tasks…
Top 20 Deception Technology Companies
Deception technology deploys fake assets to detect attackers who have bypassed perimeter defenses. Companies can use deception technology to detect and isolate a cyberattack before it reaches the organization’s actual systems. We cover the top 20 deception technology companies. List of deception technology vendors CompanyDeception toolNumber of employees FortiNetFortiDeceptor16,093 Broadcom{{1045114->name}}{{1045114->number_of_employees}} AkamaiAkamai GuardiCore{{6301596->number_of_employees}} CommvaultMetallic ThreatWise{{6268230->number_of_employees}} Rapid7{{3205386->name}}{{3205386->number_of_employees}}…
Multimodal Embedding Models: Apple vs Meta vs OpenAI
Multimodal embedding models excel at identifying objects but struggle with relationships. Current models struggle to distinguish “phone on a map” from “map on a phone.” We benchmarked 7 leading models across MS-COCO and Winoground to measure this specific limitation. To ensure a fair comparison, we evaluated every model under identical conditions using NVIDIA A40 hardware…
DGX Spark vs Mac Studio & Halo: Benchmarks & Alternatives
NVIDIA’s DGX Spark entered the desktop AI market in 2025 at $4,699, 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: GPT-OSS 120B performance When comparing systems…
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 is about integrating AI deeply and transforming business approaches by restructuring current frameworks. Key takeaways: Agentic systems evolve to handle complex, unpredictable real-world operations instead of relying on structured…
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