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Cem Dilmegani

Cem Dilmegani

Principal Analyst
346 Articles
Stay up-to-date on B2B Tech
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 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

Media, conference & other event presentations

Sources

  1. Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
  2. Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
  3. Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
  4. Science, Research and Innovation Performance of the EU, European Commission.
  5. EU’s €200 billion AI investment pushes cash into data centers, but chip market remains a challenge, IT Brew.
  6. Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
  7. We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

Latest Articles from Cem

Agentic AIApr 16

OpenClaw (Moltbot/Clawdbot) Use Cases and Security 2026

OpenClaw (formerly Moltbot and Clawdbot) is an open-source, self-hosted AI assistant designed to execute local computing tasks and interface with users through standard messaging platforms. Unlike traditional chatbots that function as advisors generating text, OpenClaw operates as an autonomous agent that can execute shell commands, manage files, and automate browser operations on the host machine.

AIApr 16

Hybrid RAG: Boosting RAG Accuracy

Dense vector search is excellent at capturing semantic intent, but it often struggles with queries that demand high keyword accuracy. To quantify this gap, we benchmarked a standard dense-only retriever against a hybrid RAG system that incorporates SPLADE sparse vectors.

AIApr 15

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 and bfloat16 precision.

AIApr 15

Cloud GPUs for Deep Learning: Availability& Price / Performance

If you are flexible about the GPU model, identify the most cost-effective cloud GPU based on our benchmark of 10 GPU models in image and text generation & finetuning scenarios. Cloud GPU price per throughput Two common pricing models for GPUs are “on-demand” and “spot” instances.

AIApr 15

Wu Dao 3.0: China's Version of GPT-5

When the US cut off China’s access to advanced chips, the Beijing Academy of Artificial Intelligence faced a choice: complain about restrictions or work around them. They picked the second option. Wu Dao 3.0, launched in July 2023, throws out the playbook. No massive trillion-parameter models competing for headlines.

Enterprise SoftwareApr 15

Top 5 SAP Job Scheduler Alternatives in 2026

We selected the SAP job scheduler alternatives based on the features, pricing, and market presence metrics of leading solutions. Follow the links below for these tools’ benefits and case studies: Alternatives to SAP’s Job Scheduler Service offer features that enhance integration, scheduling flexibility, and workflow management.

Enterprise SoftwareApr 14

Top 10 Price Monitoring Tools

Price monitoring tools track competitors’ prices to enable pricing strategies that respond to market changes and stay competitive as conditions shift. Explore the top 10 price monitoring tools, review their key features and pricing models, and learn how they can enable pricing strategies that respond to market changes.

Enterprise SoftwareApr 14

Top 7+ Hybrid Cloud Job Schedulers in 2026

Enterprises should leverage both the cloud and on‑premises systems to meet diverse data-storage and compute requirements. Explore seven workload automation solutions for cloud automation and follow the links on the vendors for our rationale. *Ratings are based on B2B user review platforms.

DataApr 14

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.

AIApr 13

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.