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

CybersecurityJul 8

Sentra DSPM: 5 Alternatives, Features & Pricing 

Sentra is a DSPM platform with data access governance (DAG), and data detection and response (DDR) capabilities, that can help you track sensitive data across the cloud.

CybersecurityJul 25

Top 10 Cloud Security Posture Management Vendors

Considering market presence, cloud coverage, compliance support, and usability here are the top 10 CSPM vendors that can help your organization minimize security risks and maintain a secure cloud ecosystem across IaaS, Saas, and PaaS environments: Market presence All vendors except CloudGuard CSPM are cloud-native application protection platforms (CNAPPs) that offer a broader, unified solution

CybersecurityOct 2

10+ Data Governance Case Studies: Real-Life Examples

Our research on data governance tools explores the top vendors in data security, data intelligence, and master data management (MDM), focusing on their key capabilities such as big data processing.

AISep 15

E-Commerce AI Video Maker Benchmark

Product visualization plays a crucial role in eCommerce success, yet creating high-quality product videos remains a significant challenge. Recent advancements in AI video generation technology offer promising solutions.

AIJun 23

Invoice OCR Benchmark: Extraction Accuracy of LLMs vs OCRs

Invoice processing is a critical yet labor-intensive business operation that traditionally requires manual data extraction and entry into accounting systems. This manual approach is time-consuming and susceptible to human error.

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.

Agentic AIAug 15

Agentic AI for Cybersecurity: Real life Use Cases & Examples

Agentic AI for cybersecurity functions as an autonomous decision-maker for SecOps and AppSec. It can take proactive actions, automate software development processes, or automate pentesting. For example, AppSec AI agents like Aptori can integrate into your IDE and CI/CD pipeline to run automated pentests to identify if your APIs are free from vulnerabilities.

CybersecurityMar 21

Top 10 Open-Source CSPM Tools for Data Security

Open-source cloud security posture management (CSPM) tools enable continuous monitoring, assessment, and management of your cloud environments, such as Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). Discover open-source CSPM tools, compare their usability and features: Market presence Tools are sorted based on GitHub stars in descending order.

CybersecurityJul 25

AI Data Governance for Ethical Use

As more companies use artificial intelligence (AI) in their technical operations, it becomes increasingly important to guarantee that AI systems adhere to ethical standards and regulatory restrictions. AI data governance addresses the inherent complexities of AI models by focusing on data transparency, ethical decision-making processes, and mitigating bias.

AIApr 7

Receipt OCR Benchmark with LLMs

Extracting data from receipts is essential for businesses since millions of employees are submitting their work related expenses via receipts. With the latest developments in generative AI and large language models, data extraction accuracy has reached approximately human levels. Benchmark results We used Claude 3.