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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 10

Pros & Cons of Top 6 RPA Alternatives to Consider

Robotic Process Automation (RPA) is a beneficial technology that can automate up to 70-80% of rules-based processes. However, ~40% of companies fail to reach their expectations of cost reduction after RPA implementation.

AISep 9

Top 20+ Agentic RAG  Frameworks

Agentic RAG enhances traditional RAG by boosting LLM performance and enabling greater specialization. We conducted a benchmark to assess its performance on routing between multiple databases and generating queries. Explore agentic RAG frameworks and libraries, key differences from standard RAG, benefits, and challenges to unlock their full potential.

AISep 9

Text-to-SQL: Comparison of LLM Accuracy

I have been relying on SQL for data analysis for 18 years, beginning with my days as a consultant. Translating natural-language questions into SQL makes data more accessible, allowing anyone, even those without technical skills, to work directly with databases.

Enterprise SoftwareSep 8

MFT Pricing: Comparison of Top 3 MFT Vendors' Pricing

Managed File Transfer (MFT) solutions vary widely in terms of pricing, depending on the features and deployment options you choose. Here’s a comparison of some leading MFT pricing: Understanding MFT Pricing Models MFT vendors typically employ different pricing approaches based on deployment requirements and organizational scale: MFT Pricing for different companies 1.

Enterprise SoftwareSep 8

APIs in the Telecom Industry: Benefits, Technologies & Examples

Service quality and price are the top factors influencing telecom customers.. Telecom companies started to embrace new technologies and digital transformation to be able to provide high-quality services and reduce costs. APIs are the cornerstone technology that can benefit the telecommunications sector by making it more innovative and efficient.

Enterprise SoftwareSep 8

Top 7 Meter-to-Cash Solutions: A Comprehensive Guide

In the utilities sector, the meter-to-cash process is essential for revenue generation and efficient operations. It involves numerous intricate steps and systems. Meter-to-cash solutions have emerged as an indispensable tool for utility providers.  Selecting the right vendor for meter-to-cash solutions can be difficult since there is little information about them.

Enterprise SoftwareSep 8

Top 10+ SAP Workload Automation Software & Use Cases

According to the SAP Corporate Fact Sheet, 99 of the top 100 organizations worldwide use SAP for enterprise resource planning (ERP). These customers account for 87% of the total global commerce. It is common for SAP users to use non-SAP systems in parallel for enterprise resource management.

AISep 5

Hospitality Chatbots: Top Use Cases and Case Studies

According to PwC, the hospitality industry can charge the second-highest premium for excellent customer experience, with a 14% margin. Fast and easy-to-engage digital channels are part of the excellent customer experience. Engaging with many customers 7/24 via live agents is not an efficient strategy for the hotels.

DataSep 5

Reverse Proxy Server vs Proxy Server

A reverse proxy is a type of proxy server that retrieves resources on behalf of a client from a web server. Unlike a forward proxy (which sits in front of clients to protect them from external servers), a reverse proxy sits in front of servers.

AISep 5

Top 6 Use Cases of Generative AI in Banking

Gartner identified generative AI as a top technology trend for the banking and investment industry in recent years. Generative AI’s contributions to data privacy, fraud detection, and risk management can be critical to financial services companies. Key use cases include fraud detection, customer service automation, credit risk assessment, and document processing.