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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

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 SoftwareSep 2

Top 16 Use Cases of RPA in Education

RPA uses software robots to automate time-consuming, repetitive tasks, freeing employees from manual, mundane tasks and allowing them to focus on more strategic activities. Their benefit to us is a lower workload and higher process execution accuracy. These benefits make RPA particularly suitable for educational institutions.

Enterprise SoftwareSep 2

RPA Market Size and Popular Vendors

Robotic Process Automation (RPA) first emerged in the early 2000s, with UiPath, Blue Prism, and Automation Anywhere releasing their products and libraries around 2003. RPA started as a way to reduce outsourcing costs, with business leaders finding new revenues to automate in each industry, such as finance, healthcare, and HR.

Enterprise SoftwareSep 2

Top 20 RPA SAP Use Cases & Examples

SAP is one of the oldest and most valuable ERP systems, with ~ €31 billion in revenue. Though an ERP suite offering automation in many areas, most SAP processes are manual and repetitive, such as accounting processes, transaction management, and reporting.

AISep 2

RPA Generative AI: Top 15 Use Cases

RPA (robotic process automation) and generative AI are two popular tools in the digital transformation landscape: These two tools are widely used because of their wide-ranging capabilities. RPA’s handling of repetitive tasks & generative AI’s automation through the creation of original content creates an opportunity for businesses to reshape their companies’ operational efficiency.

AISep 1

Hybrid RAG: Boosting RAG Accuracy

Dense vector search is excellent at capturing semantic intent, but it often struggles with queries that demand high keyword accuracy. To quantify this gap, we benchmarked a standard dense-only retriever against a hybrid RAG system that incorporates SPLADE sparse vectors.

DataAug 29

Image Data Collection with Best Practices

Computer vision (CV) is revolutionizing industries, from autonomous vehicles to healthcare, but success depends critically on the collection of high-quality image data. Organizations that implement strategic data collection services can achieve higher accuracy in specialized applications, while poor data strategies lead to biased models and compliance violations.

DataAug 29

Ethical & Legal AI Data Collection

Disruptive technologies, such as AI, ML, the Internet of Things (IoT), and computer vision, require various types of data to operate. This data often includes biometric data, such as facial images and voice recordings. Collecting and managing such data requires multiple ethical and legal considerations, which, if disregarded, can lead to expensive lawsuits and significant reputational damage.

Enterprise SoftwareAug 29

Top 12 Transactional Email Services

We analyzed over 30 transactional email services based on their features & dimensions to identify the following providers.

CybersecurityAug 26

Top 10 Open Source ASM Software Based on GitHub Stars

 An ASM software needs to meet the following requirements: Based on the key features and market presence, I identified the top 10 open source attack surface management (ASM) software: Market presence of top 10 open source ASM software Software are listed based on # of stars on GitHub (k) in descending order.


Cem Dilmegani | AIMultiple: High Tech Use Cases & Tools to Grow Your Business