AIMultipleAIMultiple
No results found.
Cem Dilmegani

Cem Dilmegani

Principal Analyst
706 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, automation, cybersecurity (including network security, application security), data collection including web data collection and process intelligence.

Cem's hands-on enterprise software experience contributes to his work. Other AIMultiple industry analysts and 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

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 SoftwareAug 8

Azure Logic Apps: 7 Use Cases & Real-life Examples

Businesses face integration challenges across legacy and cloud systems. Azure Logic Apps offers workflow automation to reduce manual effort and system silos. As Azure Logic Apps offer various services, users may get confused about which one to use and when.

AIJul 24

Top 4 Indonesia Chatbot Vendors & 7 Case Studies

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.

AIJun 12

Chatbot in Malaysia: Top 6 Vendors & Use Cases

Many chatbot companies in Malaysia are addressing this challenge to assist businesses in automating most of their customer interactions. We explained how and where a business chatbot can be implemented and provided 7 vendors that help companies obtain a chatbot in Malaysia.

Enterprise SoftwareJul 25

NFTs use smart contracts— but what exactly are they?

NFTs and smart contracts are an intriguing blockchain technology. However, most people do not fully understand how these concepts overlap. What is the difference between NFTs and smart contracts? What are NFTs? NFT stands for Non-Fungible Token and has similar features to other types of tokens, such as ERC 20 tokens.

AIAug 12

ChatGPT in Audit: Benefits, Challenges & Best Practices

This article, will analyze the top use cases of ChatGPT in audit, such as In addition, we will also explore the challenges of implementing ChatGPT in auditing practices and present a framework for establishing an effective collaboration between the human auditor and ChatGPT.

Enterprise SoftwareAug 22

CRM in Retail: Top 5 Tools, 7 Key Features & Benefits

As the retail industry continues to grow, so does the need for automation due to the increased quantity and magnitude of operations.

AIAug 22

Compare Top 7 Generative AI Services & Vendors

Since OpenAI launched ChatGPT, generative AI technology has rapidly expanded across industries. This spread led businesses to utilize various services to build and implement generative AI tools effectively. Here, we explore seven types of generative AI services that help businesses gain a competitive edge: Table 1.

AISep 19

Large Language Model Evaluation: 10+ Metrics & Methods

Large Language Model evaluation (i.e., LLM eval) refers to the multidimensional assessment of large language models (LLMs). Effective evaluation is crucial for selecting and optimizing LLMs. Enterprises have a range of base models and their variations to choose from, but achieving success is uncertain without precise performance measurement.

Enterprise SoftwareSep 2

Python RPA Library: Top 7 Vendors

Python is a top language for automating tasks (RPA), used by big companies like Google and Spotify. Its RPA libraries are often free, but they need coding skills. What are the leading Python RPA libraries? *The table is sorted from highest to lowest by the number of GitHub stars. 1.

Enterprise SoftwareJul 25

Informatica Scheduling: Features, Limitations & Use Cases

Informatica Scheduling is a workload automation/job scheduling feature within the data management platform Informatica PowerCenter. To help you leverage its capabilities, we explore Informatica Scheduling in detail below, focusing on its key functionalities, comparative advantages, limitations, and practical applications in workload automation.