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Cem Dilmegani

Cem Dilmegani

Principal Analyst
724 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

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.

CybersecurityOct 14

Top 10+ External Attack Surface Management (EASM) Tools

Several attack surface management (ASM) and external attack surface management (EASM) tools have emerged recently. In this article, I picked the best 10+ platforms based on their asset discovery level and attack surface management capabilities. Here are my key takeaways: Asset discovery level See the explanation for asset discovery methods.

Agentic AIOct 14

Claims Processing with Autonomous Agents

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 Sensitive Data Discovery & Classification Tools

Based on user experiences shared in review platforms, see the top 10 sensitive data discovery software that helps security teams locate sensitive data stored across databases, applications, and user endpoints: Features of sensitive data discovery software All software support: Read more: Data governance tools, data-centric security software.

CybersecurityOct 14

Top 10 SDP Software

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

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.

Enterprise SoftwareOct 14

Top 15+ Auto Dialer Software: Types, Features & Pricing

Auto dialer software (aka automated call software) automatically dial telephone numbers pulled from a list and connect either to the customer or a live agent, or play a recorded message. This helps automate key contact center functions like call routing.

Enterprise SoftwareOct 13

Top 3 MFT Platforms With Distinctive AI Features

We analyzed AI MFT vendors based on criteria including customer reviews, protocol support, and documented AI capabilities. Identify platforms that match your infrastructure requirements and budget. These platforms represent different approaches to AI in MFT from autonomous operations to predictive SLA monitoring to conversational analytics.

DataOct 13

How To Scrape Real Estate Data With Python

Scraping real estate data is more complicated than it looks. Zillow quickly blocks bots with PerimeterX, while Redfin requires piecing property details from scattered DOM elements. Every platform employs its own defenses, making reliable extraction a challenge without the use of proxies or APIs.

AIOct 13

Top Image Recognition Tools Compared

We evaluated the real-world performance of top cloud vision tools for object detection tasks by benchmarking their default API configurations across 5 classes. This included contrasting performances, analyzing features, and comparing service offerings in relation to pricing. Benchmark Results Performance overview at IoU=0.