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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 SoftwareNov 15

RPA in Food Industry: Top 15 Use Cases

The food and beverage industry relies on efficient operations both in the kitchen and behind the scenes. Robotic Process Automation (RPA) is streamlining essential back-office tasks, from finance to inventory management, allowing professionals to focus on quality and service.

Enterprise SoftwareNov 15

Top +15 API Statistics for Understanding API Landscape

APIs can integrate with new technologies such as IoT and chatbots. We cover 17 API-related statistics to provide a comprehensive picture of the trends and landscape of APIs.  General API statistics  Figure 1. Growth of different data types Source: Cloudflare as the main factors behind adopting APIs in their organization( see Figure 2).

Enterprise SoftwareNov 15

NFT Standards of Top Blockchains

NFTs require some level of standardization at their creation to be compatible with their blockchain. We explore some of the NFT standards.  What is an NFT standard?  Non-Fungible Token (NFT) standards outline the process for creating NFTs on a specific blockchain.

Enterprise SoftwareNov 15

Top 3 NFT Marketplaces on the Stacks Blockchain 

Although the NFT hype has cooled in recent months, we anticipate that NFTs will remain relevant due to their applications in both the virtual and physical worlds.  NFT blockchains have experienced difficulties such as volatile transaction fees and security issues. Stacks blockchain allows the creation of NFTs secured by Bitcoin using the proof-of-transfer consensus mechanism.

Enterprise SoftwareNov 15

40+ Back Office Automation Examples: RPA, WLA, AI/ML

Many tasks in IT, HR, and finance are repetitive, data-driven, and labor-intensive, making the back office a great candidate for automation using AI and RPA, as well as workload automation. According to research, RPA in the back office can reduce employee costs by 40%, providing a quick and tangible ROI to organizations.

Enterprise SoftwareNov 15

API Regression Testing: Importance & Challenges

Software testers and developers use regression testing to create efficient software programs. Research on the challenges of regression testing reveals that it accounts for 80% of the total testing cost, while software testing constitutes 50–60% of the total project cost.

Enterprise SoftwareNov 15

Python Job Scheduling: Methods and Overview

Automating repetitive tasks is essential for efficiency, whether you’re running a small script or managing large-scale applications. Python job scheduling enables you to execute tasks automatically at specific times or intervals, thereby reducing manual effort and enhancing reliability.

CybersecurityNov 15

Zero-Knowledge Proofs: How it Works & Use Cases

As businesses collect a vast amount of customer data to gain insights, improve their products and services, and monetize their data assets, they can become vulnerable to cyber threats and data breaches. The cost of breaches is rising every year, reaching ~$4.2M per breach.

AINov 14

Top 5 Restaurant Chatbots & Use Cases

Restaurant chatbots handle the repetitive stuff, taking orders, booking tables, answering “are you open? “so your staff can focus on actual service. They work 24/7 and deliver consistent responses, which matters when you’re operating multiple locations.

Enterprise SoftwareNov 14

15 Blockchain Case Studies Across Key Industries

A recent forecast projects the blockchain market will reach 943 billion U.S. dollars by 2032, growing at a CAGR of 56%.While the potential is massive, executives face uncertainty due to the varying maturity of blockchain solutions across industries.


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