
Cem Dilmegani
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
- Cem Dilmegani (September 28, 2017). 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
Conference & other event presentations
- 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 (March 10, 2023): 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
30 Market Research Stats from Reputable Sources
Venturing into the evolving sphere of market research, the article uncovers a range of key statistics that capture the sector’s state and trends. It’s a deep dive into how market dynamics are being reshaped, highlighting leading role of the U.S.
Product Market Research: 8 Essential Steps & Real-Life Examples
~90% of companies state that they listen to the voice of their customers while developing new products. One of the efficient ways to hear from customers is to conduct market research. Product market research stands as a beacon, guiding businesses in creating products that resonate with their target customers.
30 Network Performance Metrics to Measure Network Health
The ability to measure network performance is more crucial than ever for businesses to ensure seamless operations. To address this challenge, understanding and effectively utilizing network performance metrics becomes the key resolution.
Top 8 Large Vision Models: Use Cases and Challenges
Large vision models (LVMs) can automate and improve visual tasks such as defect detection, medical diagnosis, and environmental monitoring. Before comparing the top 8 large vision models, it’s important to note that in specialized tasks like object detection, LVMs still lag behind domain-specific models.
DAST: 7 Use Cases, Examples, Pros & Cons
DAST’s ability to mimic real-world cyberattacks and expose vulnerabilities in real time makes it a valuable asset in the cybersecurity toolkit. As seen in the graph, the popularity of DAST has increased significantly in the last five years.
Dataforce by TransPerfect Review & Alternatives
Our readers interested in Dataforce usually fall under the following two categories; click on yours to see relevant information: See an in-depth review of Dataforce by TransPerfect, which compares Dataforce with its top 3 alternatives. Top 3 Dataforce alternatives (for contributors) Table 1.
Healthcare Market Research: 10+ Trends & Real-Life Examples
By understanding consumer experiences and expectations through market research, businesses can improve these journeys, enhancing overall satisfaction and trust in healthcare services. This approach can lead to tailored solutions that effectively meet consumer needs and streamline their healthcare experiences.
Top Alternatives to Dollar Universe Workload Automation
We selected the top alternatives to Dollar Universe based on their popularity, ratings on B2B review platforms, features, scalability, ease of use, and ability to integrate with diverse IT environments, follow the links on the solutions to see our rationale: Broadcom’s Dollar Universe Workload Automation is an early IT operations and workload automation solution.
Top 5 SAP Job Scheduler Alternatives
We selected the SAP job scheduler alternatives based on the features, pricing, and market presence metrics of leading solutions. Alternatives to SAP’s Job Scheduler Service have grown in importance and sophistication, offering features that enhance integration, scheduling flexibility, and workflow management.
Innodata Review & Top 3 Alternatives
Technologies such as natural language processing (NLP), computer vision (CV), or generative AI are all fueled by data. Businesses are increasingly relying on AI data collection services to obtain this data. Innodata Inc. is an AI data service provider that claims to help companies fulfill their AI data needs.
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