
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
Enterprise Generative AI: 10+ Use Cases & Best Practices
Generative AI, also called GenAI, presents novel opportunities for enterprises compared to middle-market companies or startups including: However, generative AI is a new technology with unique challenges for enterprises: Executives wonder how their organizations can reap the benefits of generative AI while overcoming these challenges.
Top 4 Cost-Effective RPA Tools for <$500/month
Operational costs can deter (especially smaller) organizations from investing in RPA and missing out on automation benefits. These costs are the licenses for RPA software, RPA programming, and RPA tools.
Top 5 Customer Self Service Tools
Customer self service tools enable customers to find answers and resolve their issues without human intervention. improving overall customer satisfaction.
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.
Top 6 Economical iPaaS Vendors
Businesses are struggling with app sprawl, as the average company uses ~370 apps. App sprawl leads to employees copying and pasting across applications, leading to slow and error-prone processes. An integration platform as a service solution (iPaaS) can resolve this issue.
Top 5 Stonebranch Alternatives
Stonebranch is a SaaS workload automation solution with a wide range of community-driven pre-packaged integrations. However, it has alternatives that may suit specific users. See our rationale for selecting each tool by following the links below: ~30 WLA tools exist in the workload automation software landscape.
Azure Scheduler: Future Outlook & 7 Use Cases
Workload automation tools are the cornerstone of achieving proper task scheduling. Azure Scheduler is a cloud-based service from Microsoft designed to run simple or complex jobs on an easy-to-use and flexible platform. We provide a comprehensive outlook on Azure Scheduler, its current state, key features, and use cases.
Top 10 Alternatives to AutoSys Compared
AutoSys users are increasingly seeking alternatives due to its reliance on command-line interfaces, rising costs, and uncertainty under Broadcom. Based on our research, we chose the top 10 alternatives to AutoSys. We explained our selection rationale in the vendor’s sections and comparison tables. Use the links below to navigate directly.
Top 10 Enterprise Job Scheduler Software
AIMultiple vetted top job scheduling software based on the features, pricing, and market presence metrics of leading solutions. Follow the links below to see our rationale for each selection: Enterprise job scheduling software market leaders **Ratings are based on B2B review platforms.
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.
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