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Cem Dilmegani

Cem Dilmegani

Principal Analyst
724 Articles
Stay up-to-date on B2B Tech
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, agentic AI, cybersecurity (including network security, application security) and data including web data.

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

AINov 13

50 ChatGPT Use Cases with Real Life Examples

Artificial Intelligence (AI) is the most transformative technologies according to CEOs like Sundar Pinchai. Generative AI models are facilitating numerous tasks, enabling efficiency and automation. ChatGPT is the prominent generative AI Large Language Model (LLM) and receives 1.7 billion visits/month. ChatGPT has various applications that are useful to people, companies, and industries.

AINov 13

Handle Top 12 AI Ethics Dilemmas with Real Life Examples

Though artificial intelligence is changing how businesses work, there are concerns about how it may influence our lives. This is not just an academic or a societal concern but a reputational risk for companies, no company wants to be marred with data or AI ethics scandals that impact companies.

AINov 13

Top 20+ AI Chip Makers: NVIDIA & Its Competitors

Based on our experience running AIMultiple’s cloud GPU benchmark with 10 different GPU models in 4 different scenarios, these are the top AI hardware companies for data center workloads.

Agentic AINov 13

AI Agents for Competitive Intelligence: Tools and Applications

The competitive intelligence landscape is shifting rapidly. MarketsandMarkets projects the global AI agent market will grow from USD 5.1 billion in 2024 to USD 47.1 billion by 2030, at a CAGR of 44.8%. Traditional methods, quarterly reports, and manual research are being replaced by AI agents that continuously track competitors, delivering insights in real-time.

Enterprise SoftwareNov 13

RPA for Mac: 13 RPA tools That Can Run on Mac

RPA is a popular automation technology with various tools available across different platforms. The chart above shows that Windows dominates search interest for RPA platforms, which explains why many RPA tools primarily target Windows. Finding an RPA solution specifically designed for macOS becomes challenging. But that doesn’t mean RPA for Mac doesn’t exist.

DataNov 12

Top 3 Appen Alternatives for Workers & Customers

Appen, an AI data service provider, faces challenges that may explain its declining popularity. We compared the top alternatives to Appen in the AI training data space. The alternatives to Appen depend on your goals. Explore alternatives for Appen’s: Appen alternatives for workers * Data is from Trustpilot, as it primarily consists of worker reviews.

CybersecurityNov 12

15 Security Threats to LLM Agents (with Real-World Examples)

Even a few years ago, the unpredictability of large language models (LLMs) would have posed serious challenges. One notable early case involved ChatGPT’s search tool: researchers found that webpages designed with hidden instructions (e.g., embedded prompt-injection text) could reliably cause the tool to produce biased, misleading outputs, despite the presence of contrary information.

AINov 12

Top 10 Mortgage Chatbots: Use Cases & Examples

Banks that keep customers happy grow deposits 85% faster than their competitors. Loan processing directly affects how satisfied clients feel about their bank. Chatbots can handle mortgage-related tasks around the clock, simulating what mortgage brokers typically do. We examine 10 vendors and their practical applications, as well as United Wholesale Mortgage’s implementation.

AINov 12

AI Video Pricing: Compare Runway, 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.

AINov 12

Invoice OCR Benchmark: Extraction Accuracy of LLMs vs OCRs

Invoice processing is a critical yet labor-intensive business operation that traditionally requires manual data extraction and entry into accounting systems. This manual approach is time-consuming and susceptible to human error.


Cem Dilmegani | AIMultiple: High Tech Use Cases & Tools to Grow Your Business