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
Top 15 DLP Statistics
Data from network security statistics reveals that the cost of an average data breach in the last year reached a record-breaking $4 million. To safeguard their data, businesses are leveraging solutions such as data loss prevention (DLP) software.
12 GPT Accounting Use Cases & Benefits
Accounting software has automated data entry tasks and workflows however enterprise accounting remains manual and expensive. Recent advances in large language models (LLMs) and AI used in AP functions show the potential to significantly increase automation rates in accounting. AI tools, specifically language models using GPT technology can automate various aspects of the accounting process.
Top 10 Mobile DLP Best Practices & Case Studies
As remote work and mobile device usage continue to increase, protecting sensitive data on mobile platforms has become a top priority for organizations. Mobile devices often present vulnerabilities for DLP software due to their portability, access to cloud systems, and various apps (Figure 1).
Top 10+ Emotional AI Examples & Use Cases
The emotion detection and recognition (EDR) market is estimated to reach at ~$50 Bn in 2024, and is expected to reach ~$173 Bn by 2031. Emotion detection and recognition rely on emotion AI to identify, process, and simulate human feelings and emotions.
Top 7 Real-life Network Segmentation Use Cases
Network security statistics show that the total amount of data breaches has more than doubled in the last three years rising to 1,300+ cases from ~600. Network segmentation tools can help organizations build a finer-grained network to prevent breaches. Here are the top 7 real-life network segmentation use cases and examples: 1.
IoT Implementation Steps & Best Practices
We analyzed insights from industry leaders, IoT experts, and real-world case studies to provide a structured approach to IoT implementation and best practices. Successful IoT deployment requires a clear strategy, starting with defining business objectives, selecting the right technology stack, ensuring security, and integrating IoT with enterprise systems.
Quantum Artificial Intelligence
Quantum computing and artificial intelligence are both transformational technologies and artificial intelligence are likely to require quantum computing to achieve significant progress. Although artificial intelligence produces functional applications with classical computers, it is limited by the computational capabilities of classical computers.
Applying RLHF: Techniques, use cases, and challenges
Training AI systems to align with human values can be a challenge in machine learning. To mitigate this, developers are advancing AI through reinforcement learning (RL), allowing systems to learn from their actions. A notable trend in RL is Reinforcement Learning from Human Feedback (RLHF), which combines human insights with algorithms for efficient AI training.
Microsoft Copilot: Review & Top 4 Alternatives
Microsoft Copilot is an AI-powered assistant integrated across Microsoft products to enhance productivity and usability through natural language interactions. Using advanced generative AI models, including GPT-4, Copilot provides assistance in tools like Word, Excel, PowerPoint, Outlook, Teams, and GitHub. It enables tasks such as data analysis, presentation creation, email management, and real-time collaboration.
Top 7 Real-life Micro Segmentation Examples
Source: IC3 Network security statistics show that the monetary damage caused by cybercrime reported to the U.S. increased by around 21% in 2023, reaching a historical high of $12.5 billion. Micro segmentation tools may assist companies in: See the top 7 real-life micro segmentation examples with stories from diverse industries: 1.
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