Cem Dilmegani
Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, and Washington Post, global firms like Deloitte and 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 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
Top 5 Alternatives to Tenable Nessus: Features & Comparison
Several notable options are available in the DAST and vulnerability scanning tools market. We selected the top alternatives to Tenable Nessus based on our research and DAST benchmark. Follow the links for the rationale behind each selection: See the features and attributes of alternatives to Tenable Nessus: *Ranking is based on the review ratings, except…
Top 8 Observability Software with Pricing Including SolarWinds
Observability platforms promise complete visibility across distributed systems, but selecting the right one is hard when every vendor claims they do everything. We analyzed the top 8 observability software products by reviewing their documented capabilities, public pricing, verified customer reviews, and enterprise reference cases. See the graph to learn each vendor’s search market share: *…
RPA Pricing Compared Across Leading Vendors
We reviewed leading RPA pricing in detail to identify the lowest RPA vendor license fees: See license costs of market-leading solutions for different scenarios with different numbers and types of licenses: Note: We based price estimates on public, verifiable data. Therefore unpublished volume discounts are not included above. If a price point was not available,…
AIM Agentic Web Benchmark
Agents rely on web interfaces to complete tasks on the web. To measure how interface choice affects task completion, we built the AIM Agentic Web Benchmark and attempted 3,500 tasks (100 tasks completed via 7 web interfaces across 5 runs). A Bright Data interface led every run. The Bright Data CLI retrieved 8 more tasks…
Top 14 Network Planning Tools: Key features & Benefits
Network planning tools help businesses optimize performance, manage resources efficiently, and ensure scalable, reliable network designs for growth and stability. Here is an overview of the most valuable tools available today, organized by their primary function: These solutions are primarily used to architect a network from scratch, but can also be leveraged to reorganize an…
Large Multimodal Models (LMMs) vs LLMs
Evaluate LLMs and LMMs by comparing their benchmark scores and real-world latency by clicking the model’s name in the table below. You can also weigh their input and output pricing to judge overall efficiency and value. *Audio is native on the E2B, E4B and 12B models only. Available in five sizes: E2B, E4B, 12B, 26B…
Mobile AI Agents Tested Across 65 Real-World Tasks
We spent 3 days benchmarking four mobile AI agents (DroidRun, Mobile-Agent, AutoDroid, and AppAgent) across 65 real-world tasks using an Android emulator with applications such as calendar management, contact creation, photo capture, audio recording, and file operations. See benchmark results including real-world performance comparison, costs and execution times: Highest success rate (43%) with high cost…
Web Scraping Roadmap
We scraped 10,000 live domains and 100 marketplaces using products from six web data infrastructure companies.We benchmarked these tools to see how well they handle enterprise web data use cases. We benchmarked 4 leading web data providers across the top 10,000 domains, running a total of 260,000 requests. Each provider was tested at multiple concurrency…
WLA Migration: Best Practices & Vendor Approaches
67% of organizations are transitioning to more functional workload automation tools, as the right choice can improve operational efficiency by 56% and reduce costs by 39% according to the State of IT Automation Report.37 Explore workload automation (WLA) migration, best practices, what to pay attention to, and the differing approaches from different vendors. WLA (Workload…
AI Agents in Customer Service Compared
AI agents powered by large language models (LLMs) can respond to customer queries in natural language, interpret context, and generate human-like responses. These agents can process and synthesize large volumes of information from sources such as knowledge bases. We compiled four customer service AI agents: Tidio Lyro, Microsoft Azure AI Chatbot, IBM Watsonx Assistant, and…
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