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Cem Dilmegani

Cem Dilmegani

Principal Analyst
306 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

Enterprise SoftwareJun 23

25 Digital Twin Applications/ Use Cases by Industry

As more sectors explore virtualization, digital twin solutions are gaining mainstream traction. The global market for digital twins is expected to reach $74 billion by 2027, and the proliferation of IoT technology is accelerating this growth.1 See 25 current digital twin applications: Digital twin applications Supply chain Digital twins are increasingly used in the supply…

AIJun 23

Top 15 Logistics AI Use Cases & Examples

Persistent inefficiencies, rising operational costs, and ongoing supply chain disruptions continue to challenge logistics functions globally. These pressures are straining traditional systems, reducing service reliability, and limiting organizations’ ability to scale. In response, companies are increasingly turning to artificial intelligence to enhance end-to-end visibility, strengthen resilience, and optimize core functions. As adoption accelerates, AI is…

Agentic AIJun 23

AI Agent Performance: Success Rates & ROI

Recent research reveals that AI performance follows predictable exponential decay patterns,28 enabling businesses to forecast capabilities and differentiate between costly failures and successful ROI-generating implementations. I oversaw 12 AIMultiple benchmarks, including nearly 70 AI agents across more than 1,000 tasks. See what each benchmark measures and where limits remain: Web interaction and browser-based agents Computer…

AIJun 23

No-Code AI: Benefits, Industries & Key Differences

No-code AI tools allow users to build, train, or deploy AI applications without writing code. These platforms typically rely on drag-and-drop interfaces, natural language prompts, guided setup wizards, or visual workflow builders. This approach lowers the barrier to entry and makes AI development accessible to users without a programming background. Recently, no-code AI has expanded…

DataJun 23

Reproducible AI: Why it Matters & How to Improve it

Reproducibility is a core part of scientific research. It allows researchers and AI teams to check whether a result can be obtained again under clearly described conditions. An OECD report on AI in science argues that AI research has not escaped the broader reproducibility crisis. It cites evidence that reproducibility problems have appeared across image…

AIJun 23

Top 10 Open Source Sentiment Analysis Tools

Sentiment analysis has gained worldwide momentum as one of the text analytics applications. Businesses that have not implemented sentiment analysis may feel an urge to find out the best tools and use cases for benefiting from this technology. Explore the top open source sentiment analysis tools and no-code solutions for businesses looking to pilot sentiment…

Agentic AIJun 23

Building AI Agents with Composable Patterns

We spent 3 days experimenting with workflows and agent pipelines in n8n, following Anthropic’s and OpenAI’s guides on building effective AI agents.4445 Explore the core AI agent components, how to choose the right components and tools, in addition to building agent workflows based on Anthropic’s simple, composable patterns such as prompt chaining, routing, parallelization, orchestrator…

Enterprise SoftwareJun 23

Best Open Source RPA Tools

Open source RPA (Robotic Process Automation) can still play an important role in the future of automation. Its main advantages are transparency, flexibility, and the absence of licensing costs. Below, we list six open-source RPA tool options and link to their source code. For a starting point, see our data-driven guides on Python RPA tools,…

CybersecurityJun 22

Top 7 SaaS Backup Solutions

Many businesses operate under the misconception that their SaaS providers (like Microsoft 365 or Google Workspace) fully protect their data from all threats. While these platforms offer some level of data redundancy, they do not protect against accidental deletion, ransomware, or insider threats. SaaS backup solutions address these issues. We analyzed the top 7 SaaS…

Enterprise SoftwareJun 22

Top 10 Managed File Transfer Software Tested: See the Best One

We analyzed pricing plans, technical specs, and performance metrics from four major vendors: Cerberus FTP, IBM Aspera, Serv-U, and Thru based on real-world file transfer scenarios and created MFT benchmark. We listed solutions that go beyond basic file transfer protocols, incorporating security measures, compliance tracking, and workflow automation to ensure data is transferred safely. Comparison…

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