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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

AIJul 25

Demand Forecasting in the Age of AI & Machine Learning

Businesses face different inventory challenges when they are dealing with supply chains. Addressing supply chain issues is paramount. Demand forecasting enables businesses to reduce supply chain costs and achieve significant improvements in financial planning, capacity planning, profit margins, and risk assessment decisions.

AIJul 24

WhatsApp HR: Top 25 Use Cases for Human Resources

HR teams are under financial strain This lowers their recruitment capacity, training and development opportunities, and retention capabilities. We recommend that HR departments with limited budgets consider using WhatsApp to automate some processes. We explained why WhatsApp is suitable for HR professionals and highlighted the top 25 related categories for use across HR tasks.

AIJul 24

Top 25 Chatbot Case Studies & Success Stories in 2026

The global chatbot market currently stands at approximately $16 billion and is projected to reach $46 billion by 2029. Despite the hype around chatbots, stories of failure are common, while successes are rare. Therefore, designers of conversational interfaces must analyze these failures, as a few successes arise from many failures.

AIJul 24

Top 20 Open Source Chatbot Frameworks in 2026

An open-source chatbot framework provides the source code publicly, allowing anyone to use, modify, customize, and distribute it freely. We compiled a list of the top 20 open-source chatbot platforms while highlighting their key and differentiating features.

AIJul 24

Top 4 Indonesia Chatbot Vendors & 7 Case Studies in 2026

Indonesia had 212 million internet users by January 2025, ranking high in the Asia-Pacific for mobile adoption, with 75% of users accessing the internet via smartphones. We outlined the Top 4 chatbot companies in the Indonesian market, their use cases, and their benefits.

AIJul 24

Conversational UI: 6 Best Practices in 2026

The conversational AI market is experiencing rapid growth, projected to increase from $13 billion in 2024 to approximately $50 billion by 2030, representing a compound annual growth rate of around 25%. Conversational user interfaces (UIs) have evolved significantly beyond basic chatbots to become advanced, context-aware systems that profoundly alter how users interact with digital products.

AIJul 24

Top Chatbot Testing Frameworks & Tools in 2026

Chatbots can be used in customer service, sales, and internal operations. However, minimizing the risk of chatbot failures is essential to harness this potential fully. Ensuring smooth, efficient performance is critical, and the key to achieving this lies in thorough chatbot testing..

AIJul 24

How to Build a Chatbot: Components & Architecture in 2026

Chatbots are communication channels that enable businesses to be available for their customers 24/7. They serve various purposes across different industries, such as answering frequently asked questions, engaging with customers, and providing deeper insights into customer needs. Understanding chatbots’ underlying architecture is essential to reaping the most benefits.

AIJul 24

How to Measure AI Performance: Key Metrics & Best Practices

Measuring AI performance is crucial to ensuring that AI systems deliver accurate, reliable, and fair outcomes that align with business objectives. It helps organizations validate the effectiveness of their AI investments, detect issues like bias or model drift early, and continuously optimize for better decision-making, operational efficiency, and user satisfaction.

AIJul 24

Top 8 Computer Vision Construction Use Cases & Examples

Adopting AI technologies, such as computer vision, is accelerating in the construction industry, offering solutions for safety, efficiency, and quality control. However, challenges like an aging workforce and high-risk tasks continue to hinder widespread implementation. Explore the top 8 use cases with real-life examples where computer vision construction technologies already impact construction sites.