
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
Best Open Source RPA Tools
There are already some open-source RPAs, and we are showing the top 6 ones and their source codes. Note that the ecosystem is still relatively immature. However, with the commodification of RPA technology, more vendors are offering similar solutions.
Low/No Code RPA Software: Benefits & Best Practices
We analyzed ~80 RPA tools in the market and prioritized those with a low code approach. The below are either market leaders due to metrics like number of reviews and features or provide exceptional pricing.
Top 20 Deception Technology Companies
Deception technology is gaining popularity as organizations seek approaches to protect against evolving cyberattacks including phishing, lateral movement, and insider threats. Companies can leverage deception technology to identify and respond to a cyberattack before it reaches the organization’s actual systems. We cover the top 20 deception technology companies.
Top 5 Natural Language Platforms (NLP) Comparison
There are numerous API providers in the chatbot landscape, with the majority focusing on Natural Language Processing (NLP) and Natural Language Understanding (NLU). It is a crucial decision to make, as this will affect the most important aspect of a conversational interface. We compared the top five natural language processing platforms and their features.
Conversational UI: 6 Best Practices
The conversational AI market is experiencing rapid growth, projected to increase from $13 billion in 2024 to approximately $50 billion by 2030, representing a compound annual growth rate of around 25%. Conversational user interfaces (UIs) have evolved significantly beyond basic chatbots to become advanced, context-aware systems that profoundly alter how users interact with digital products.
100+ AI Use Cases with Real Life Examples
During my ~2 decades of experience of implementing advanced analytics & AI solutions at enterprises, I have seen the importance of use case selection. I analyzed 100+ AI use cases, their real-life examples and categorized them by business function and industry.
Top Chatbot Testing Frameworks & Tools
Chatbots can be used in customer service, sales, and internal operations. However, minimizing the risk of chatbot failures is essential to harness this potential fully. Ensuring smooth, efficient performance is critical, and the key to achieving this lies in thorough chatbot testing..
Pros & Cons of Top 6 RPA Alternatives to Consider
Robotic Process Automation (RPA) is a beneficial technology that can automate up to 70-80% of rules-based processes. However, ~40% of companies fail to reach their expectations of cost reduction after RPA implementation.
Chatbot Testing: A/B, Auto, & Manual Testing
Achieving chatbot success can be challenging. Claims such as “10 times better ROI compared to email marketing” are only realistic if the chatbot is designed, tested, and implemented effectively. A structured testing process plays a key role in ensuring that a chatbot delivers reliable results.
Compare Top Self Checkout Systems
According to surveys, 60% of people are irritated with long checkout lines. Self-checkout units are installed to prevent the long queues at the market and improve the shopping experience. Today, self-checkout systems continue to attract tech giants like Amazon and Walmart.
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