Cem Dilmegani
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
- Cem Dilmegani, Post-AI Banking: Millions of jobs at risk as banks automate their core functions. International Banker.
- Cem Dilmegani, Bengi Korkmaz, and Martin Lundqvist (December 1, 2014).Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Media, conference & other event presentations
- Answers to Korea24's questions on job loss due to AI, Korea24
- Real Estate and Technology, presented by Hofstra University’s Wilbur F. Breslin Center for Real Estate Studies and the Frank G. Zarb School of Business in 2023 and 2024.
- Radar AI session (June 22, 2023): "Increasing Data Science Impact with ChatGPT".
- Generative AI Atlanta meetup: Generative AI for Enterprise Technology.
Sources
- Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
- Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
- Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
- Science, Research and Innovation Performance of the EU, European Commission.
- EU’s €200 billion AI investment pushes cash into data centers, but chip market remains a challenge, IT Brew.
- Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
- We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.
Latest Articles from Cem
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.
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).
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.
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.
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.
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.
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.
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.
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.
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.
AIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.