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Cem Dilmegani

Cem Dilmegani

Principal Analyst
687 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 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

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 AIOct 18

Top 4 AI Search Engines Compared in 2026

Searching with LLMs has become a major alternative to Google search. We benchmarked the following AI search engines to see which one provides the most correct results: Benchmark results Deepseek is the leader of this benchmark, by correctly providing 57% of the data in our ground truth dataset.

CybersecurityOct 17

Top 7 Red Teaming Tools in 2026

Red teaming is a critical component of modern cybersecurity strategies, simulating real-world attacks to expose vulnerabilities in systems, networks, and human processes. Choosing the right tool can make the difference between a surface-level test and a deep, realistic security assessment.

AIOct 16

AP AI Applications & Tools for Accounts Payable Processes

AI eliminates the inefficiencies that plague manual AP, like fraud risk, data errors, slow payment cycles, and a lack of spending visibility. By implementing these AP AI tools, your finance team can achieve massive cost savings, boost compliance, and gain the strategic insights needed for better cash management.

AIOct 15

Composite AI: Techniques & Use Cases in 2026

Despite significant investments in generative AI, many organizations are still struggling to demonstrate its tangible business impact. In 2024, companies spent an average of $1.9 million on GenAI initiatives, yet fewer than one in three AI leaders say their CEOs are satisfied with the return on those investments.

AIOct 15

AI Text Generation: Top 16 Use Cases & 4 Case Studies

Generative AI, a subset of artificial intelligence, allows for creating new content, such as text, code, images, designs, and videos, by learning from and building on existing data. Explore how generative AI can be used to generate content in the form of text via 4 use cases and 2 case studies of AI text generation..

AIOct 15

Autonomous Things: Use Cases with Examples in 2026

Autonomous things (often shortened to AuT) are physical devices, such as vehicles, robots, and drones, that use onboard sensors, connectivity, and AI to perceive the physical world and autonomously complete tasks with little or no human direction Explore what autonomous things are and how they operate, their most common use cases with real-life examples, and

AIOct 15

17 Computer Vision in Healthcare Use Cases & Examples

Even though Hinton, a Turing award recipient, claimed that radiology would be automated by 2021, such accelerated automation hasn’t occurred.However, AI-driven computer vision in healthcare is still expected to increase precision in surgery, medical imaging, and real-time patient monitoring, while enabling faster and more reliable decision-making.

Agentic AIOct 14

Claims Processing with Autonomous Agents in 2026

We’ll use Stack AI workflow builder for claims automation and create an AI agent to enable users to upload accounting documents like claim forms and automatically convert them into structured JSON using OCR and GPT-based processing.  The extracted data can then be sent to a Google Sheet or used in custom apps and databases.

CybersecurityOct 14

Top 10 SDP Software in 2026

Software-defined perimeter (SDP) software distributes access to internal applications based on a user’s identity. See the top 10 (software-defined perimeter) SDP solutions based on our advisors’ recommendations, and vendor features: Feature comparison Software with: Market presence See vendor selection criteria.

AIOct 14

Top 10 Conversational AI and Chatbot Challenges in 2026

Conversational AI and chatbots are effective for simple questions and finding information. Still, they often fall short when dealing with emotional situations, complex problems, or decisions that require human judgment. Here are the primary conversational AI challenges associated with building these systems.