No results found.
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

AIAug 13

Generative AI in Retail: Use Cases, Examples & Benefits

Retail businesses strive to enhance customer experiences and loyalty. This requires producing attractive content in various formats, effective marketing efforts, and exceptional customer service. With generative AI, retailers can resolve most of these issues through automation, particularly by enhancing their ability to analyze customer data for more personalized customer experiences.

Enterprise SoftwareAug 13

Digital Transformation for Telecoms with Case Studies

The telecommunication or telecom sector is a ~$1.5 trillion market that makes communication possible worldwide. As remote work becomes more widespread, consumer needs continuously change in the telecom sector, demanding better services from telecom service providers. Like every other sector, the telecommunications sector can also benefit from digital transformation to improve its services.

AIAug 13

AI in HR: Steps & Use cases with Real-Life Examples

Artificial intelligent (AI) usage in human resources (HR) has emerged as a game-changer by enhancing efficiency and reducing the risk of overlooking qualified candidates, where the average initial résumé screening time is just 7.4 seconds.

AIAug 13

Best Design to Code Tools Compared: Detailed Analysis

The design to code landscape has transformed with AI-powered tools promising to bridge the gap between visual design and production-ready code. With 82% of developers now using AI coding assistants daily or weekly, the demand for effective design-to-code solutions has never been higher.

AIAug 13

Generative AI for Email Marketing: Applications & Examples

Generative AI has evolved beyond basic email content creation to enable real-time personalization, multimodal interactions, and cross-channel orchestration that responds to customer behavior. While 60% of CMOs plan to prioritize AI adoption by 2026,current implementations often miss critical capabilities like dynamic content adaptation and voice-integrated workflows that are reshaping email effectiveness.

Enterprise SoftwareAug 12

Automotive APIs: 7 Use Cases, Databases & Solutions

McKinsey claims that the overall market for automotive software and related electronic components will grow by 7% CAGR from 2020 to 2030.. In 2010, on average a car included 10 million lines of software code, while it ran on 100 million lines of code in 2018.

Agentic AIAug 12

Agentic AI n8n Tutorial

We built an AI agent within n8n designed to provide investment advice, showcasing the platform’s capabilities for agentic AI. This process involved configuring the agent to perform technical and fundamental stock analysis by integrating 5 distinct tools and pulling financial data from various APIs.

AIAug 12

Top 10+ Legal AI Use Cases & real-life examples

The legal AI software market is expected to quadruple in the next five years, as AI technology offers significant potential to help lawyers focus on higher-value tasks. Despite challenges such as biased forecasts and tracking changing regulations, there are many manual tasks within legal departments that can be automated.

AIAug 12

Top 5 Insurance Chatbots with Real-life Use Cases

In 2024, the global insurance industry’s premium income increased by approximately 9%, totaling ~$8 trillion, highlighting strong demand and escalating digital investments. At the same time, the global insurance chatbot market is projected to reach a value of $5238 million by 2033, indicating the rapid growth of chatbots in the insurance industry industry.

AIAug 12

Top 5 Technologies Improving Insurance Fraud Detection

According to the FBI, insurance fraud (excluding health insurance) costs more than $40 billion annually in the U.S. alone.(Insurance Fraud. FBI. Accessed: February/11/2025.) Technological tools such as artificial intelligence (AI), the Internet of Things (IoT), machine learning, and blockchain can be used by insurers to more effectively detect and prevent insurance fraud.