
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
Top 10 Managed File Transfer Software Tested: See the Best One
We explore 8 managed file transfer tools.
Top 6 Octoparse Alternatives & Competitors
Octoparse is an easy-to-use platform to get started with web scraping. As a non-technical user, I kick-started AIMultiple’s data collection efforts with Octoparse.
Top 12 Use Cases of RPA in Procurement Process
Chief procurement officers (CPOs) are pessimistic about the supply chain volatility index of 2024 pointing a huge and increasing volatility in 2024. A remedy is a more robust procurement process that keeps the business ahead of the market and geopolitical dynamics.
Top 30 Mobile App Use Cases: With Examples & Tips
Mobile applications, or mobile apps, have a great potential to boost your business because: However, the retention rate for mobile apps after a month is less than 3%, indicating that just a small number of apps add value for businesses.
Human Annotated Data
As the AI market grows (Figure 1), integrating AI solutions remains challenging due to time-consuming tasks like data collection and annotation. Many use automated annotation tools to streamline the tedious process of data annotation, but robust machine learning models still require human-in-the-loop approaches and human-annotated data.
Top 7 Workload Automation Tools: Vendor Benchmark
We compare 7 workload automation tools. In our screening, we used three criteria. 100+ employee size on LinkedIn, 3M+ funding or revenue and reference from a Fortune 500 company.
Top 40+ XR/AR Use Cases / Applications with Examples
Extended Reality (XR) is quickly becoming an integral part of the business world, and its market revenue is expected to reach $1.4 trillion by 2030. From virtual training and educational experiences to interactive customer service solutions, XR can help organizations create immersive experiences that increase engagement among consumers and employees on multiple levels.
Generative AI Ethics: Concerns and How to Manage Them?
Generative AI raises important concerns about how knowledge is shared and trusted. Britannica, for instance, has accused Perplexity of reusing its content without consent and even attaching its name to inaccurate answers, showing how these technologies can blur the lines between reliable sources and AI-generated text.
Generative AI Copyright Concerns & 3 Best Practices
We analyzed tens of court cases and licensing deals to answer these key questions about copyright and generative AI.
Generative AI in Fashion: Top 10 Use Cases & Examples
89% of all companies across different sectors are switching to digital technologies, and the generative AI in fashion industry is not an exception. McKinsey reports that in 2021, fashion brands and companies invested approximately 1.7% of their income in emerging technologies. Moreover, they estimate the figure will rise between 3.0% and 3.5% by 2030.
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