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Cem Dilmegani

Cem Dilmegani

Principal Analyst
287 Articles
Stay up-to-date on B2B Tech
Cem has been the principal analyst at AIMultiple since 2017.

Cem's work at AIMultiple has been cited by leading global publications including Business Insider, Forbes, Morning Brew, and Washington Post, global firms like Deloitte and 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 enterprise AI and software.

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

Media, conference & other event presentations

Sources

  1. Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
  2. Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
  3. Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
  4. Science, Research and Innovation Performance of the EU, European Commission.
  5. EU’s €200 billion AI investment pushes cash into data centers, but chip market remains a challenge, IT Brew.
  6. Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
  7. We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

Latest Articles from Cem

Enterprise Software
Feature Comparison
Sep 2

Top 7 GoAnywhere Alternatives

GoAnywhere is a secure file transfer platform used by enterprises to exchange data securely. Whether you’re in search of more advanced features, diverse pricing options, or superior customer service, our curated list of alternatives offers the insights you need to make a well-informed choice. We prepared an overview of the top alternatives to GoAnywhere MFT,…

Enterprise Software
Feature Comparison
Sep 2

MFT Pricing: Comparison of Top 3 MFT Vendors' Pricing

Managed File Transfer (MFT) solutions vary widely in terms of pricing, depending on the features and deployment options you choose. Before comparing specific vendors, it’s worth understanding the three main pricing structures you’ll encounter in the MFT market. One structural shift worth noting: several vendors, including Cerberus, offer multi-year subscription terms with meaningful discounts. Cerberus’s…

Enterprise Software
Insight
Sep 2

8 Network Monitoring Use Cases with Real-Life Examples

Network monitoring is one of those things that IT teams only notice when it is missing. When it works well, problems get caught before users know anything is wrong. When it is absent, a minor connectivity issue can quietly escalate into a major outage. See our examples below to show how organizations are actually putting…

AI
Insight
Sep 2

Generative AI in Retail: 7 Use Cases & Examples

Retail businesses strive to enhance customer experiences and loyalty. This requires producing attractive content in various formats, effective marketing efforts, and exceptional customer service. With generative AI, retailers can address most of these issues through automation, particularly by enhancing their ability to analyze customer data to deliver more personalized experiences. See the examples and benefits…

AI
Feature Comparison
Sep 2

Cloud LLM vs Local LLMs: Examples & Benefits

Cloud LLMs, powered by advanced models like GPT-5.5 and Claude Opus 4.7, offer scalability and accessibility. Conversely, Local LLMs, driven by open-source models such as Llama 4, DeepSeek V4, and Qwen3.6-Plus, ensure stronger privacy and customization. Explore what are cloud LLMs, strengths and weaknesses, most common case studies with real-life examples, and how they differ…

Cybersecurity
Feature Comparison
Sep 2

Compare 10+ Enterprise Password Management Tools: Features, Pricing

Enterprise password management spans business password managers and privileged access / secrets management platforms offered by top enterprise password management products. We compiled top 11 password management solutions with differentiating features and pricing information: The table omits capabilities present in every product, such as AES-256 encryption, role-based access control, multi-factor authentication, audit logging, and REST…

Enterprise Software
Feature Comparison
Sep 2

Top 6 SAP Job Scheduler Alternatives

We selected the SAP job scheduler alternatives based on the features, pricing, and market presence metrics of leading solutions. Follow the links below for these tools’ benefits and case studies: Explore top SAP job scheduler alternatives considering their unique features and advantages against SAP’s offering: Note that tools are listed basted on their B2B user…

AI
Feature Comparison
Sep 2

AI Video Pricing: Compare Synthesia & Invideo AI

AI video pricing can differ significantly across platforms, influenced by factors such as output quality, customization options, and features. As more businesses and creators turn to AI for efficient video production, understanding these pricing models becomes essential. Dive in for a detailed comparison of the top AI video tools, highlighting what each service provides at…

AI
Insight
Sep 1

LLM Fine-Tuning Guide for Enterprises

Follow the links for the specific solutions to your LLM output challenges. If your LLM: The widespread adoption of large language models (LLMs) has improved our ability to process human language. However, their generic training often results in suboptimal performance for specific tasks. To overcome this limitation, fine-tuning methods are employed to tailor LLMs to…

AI
Insight
Sep 1

10+ Large Language Model Examples

We have gathered open-source benchmarks to compare leading proprietary and open-source large language models. Choose your use case to find the right model. You can evaluate large language models by examining their benchmark performance and real-world latency (available by clicking each model’s name in the table), and by reviewing their pricing to assess overall efficiency…