
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
Data Loss Prevention (DLP): Types & 5 Challenges
The increased mobility introduces risks of data loss or theft, which can lead to severe financial losses and reputational damage for companies. Effective Data loss prevention (DLP) software needs to prevent the unauthorized movement of private data and personally identifiable information (PII) to limit reputational and financial risk.
Top 20 Data Labeling Tools
Data labeling, the process of annotating raw data (such as images, text or audio), is essential for training ML models to perform tasks like classification and recognition. Here, we introduce top 20 data labeling tools. The top data labeling tools: Ranking: From most to least comprehensive.
Best No-Code Web Scrapers for Beginners (Free Trials + Pricing)
The landscape of no-code web scrapers has expanded, from free browser extensions to enterprise platforms offering APIs and compliance at scale. We evaluated 15 no-code and low-code web scrapers using 800+ verified customer reviews from B2B platforms.
Layers & Components of IoT Architecture
Though businesses are investing in IoT, buyers may not be clear about all the components that they need to invest in.
Top 10 IoT Communication Protocols & Key Features Analyzed
The backbone of IoT ecosystem is connectivity. IoT devices can connect and exchange data with each other via communication protocols. You need to know what the top IoT protocols are and how they work if you are looking to establish an IoT system in your organization.
Top 6 Insurance IoT Use Cases
The rapid growth of IoT is transforming the insurance industry by enabling continuous monitoring, which could prevent risks and reduce the need for traditional insurance. However, it also introduces challenges like cyber threats, making cyber risk insurance a potential focus. Since insurance relies heavily on data, IoT’s ability to increase data availability offers efficiency benefits.
Types of Conversational AI: GenAI Chatbots to IVR
Conversational AI consists of software that enables human interaction, including chatbots powered by LLMs, voicebots, and interactive agents. These tools help users ask questions, get support, or complete tasks remotely.
Dynamic Pricing Algorithms: Top 3 Models
Dynamic pricing is a method used by business leaders, such as Amazon and Airbnb, to optimize their pricing strategy according to market and consumer data in order to attract more customers and increase profit. In this article, we explore the algorithms underlying dynamic pricing and how to choose the most suitable one for your business.
B2B Chatbots: Top 7 Use Cases & Case Studies
B2B interaction is a business transaction between two companies. B2B chatbots offer several advantages, including answering common FAQs, providing round-the-clock customer support, analyzing data, and nurturing leads. We explored what B2B chatbots are, how they can streamline B2B relationships, and showcased some use cases.
Top IoT Cloud Benefits, Challenges & Platforms
In an IoT ecosystem, devices communicate effortlessly through the cloud rather than relying on traditional, bulky servers with blinking lights hidden in office basements. The cloud’s easy accessibility, scalability, and robust disaster recovery features have made it the go-to solution for maintaining IoT data.
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