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Cem Dilmegani

Cem Dilmegani

Principal Analyst
360 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

Enterprise SoftwareMar 17

Cloud Workload Automation: Top Software & Use Cases

Businesses are increasing their flexibility while managing costs by adopting a hybrid cloud strategy. According to Statista, industries have increased their cloud workloads and had an uptick as a response to the COVID-19 pandemic.

CybersecurityMar 17

Top 10 Mobile DLP Best Practices & Case Studies

Employees access files, send emails, and use business apps on mobile devices such as smartphones and tablets, which creates new risks. Mobile devices often pose vulnerabilities for DLP software due to their portability, access to cloud systems, and various apps.

Enterprise SoftwareMar 17

Top 7 Alternatives to Automic Automation

Automic Automation is a prominent workload automation tool in the WLA market. However, given businesses’ unique and often niche requirements, it is essential to explore several alternatives.

Enterprise SoftwareMar 17

Top 7 Windows Job Scheduling Software

At AIMultiple, we benchmark and constantly use job scheduling tools. For example, we use crontab to orchestrate ~20 cron jobs that run every minute and ~30 less frequent jobs. Based on our experience, we picked the top Windows job scheduling software based on their features, pricing, and market presence.

Agentic AIMar 16

MCP Benchmark: Top MCP Servers for Web Access

We benchmarked 8 MCP servers across web search and extraction, as well as browser automation tasks, by running 4 different tasks 5 times on all suitable MCPs. We also performed a load test involving 250 concurrent AI agents.

Agentic AIMar 16

Compare 50+ AI Agent Tools in 2026

We spent the last quarter testing AI agents across coding, customer service, sales, research, and business workflows. Not reading vendor marketing, actually using these tools daily to see what delivers and what does not. Most tools today are co-pilots, not autopilots.

DataMar 16

Best Database Performance Monitoring Tools: Top 5 Platforms Compared

Database issues cause application failures: A memory spike crashes your server, and a slow query times out user requests. We analyzed six database monitoring platforms and benchmarked three of them extensively on MySQL and MongoDB by installing them from scratch, running identical workloads, and documenting every step of the setup and monitoring experience.

Enterprise SoftwareMar 16

Control-M for Enterprise Workload Automation

Control-M by BMC Software helps teams coordinate and automate data and application workflows across environments, including mainframes, the cloud, and hybrid systems. It gives users a single place to schedule jobs, track progress, and handle dependencies.

Enterprise SoftwareMar 16

Future of Management Consulting in '26: Will AI disrupt MBB?

Management consulting is one of the largest industries in the world with the industry leader McKinsey estimated to be making >$10 billion. McKinsey has survived numerous disruptions since its founding in 1926.

Enterprise SoftwareMar 16

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.