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Home » Celonis Uses Machine Learning (ML) to Identify Value Improvement Opportunities
AI and Copilots

Celonis Uses Machine Learning (ML) to Identify Value Improvement Opportunities

Tom SmithBy Tom SmithDecember 20, 2023Updated:January 10, 20241 Min Read
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In this moment from Acceleration Economy’s AI Ecosystem course, Chris Monkman, vice president, product management, AI and knowledge at Celonis, talks with Acceleration Economy’s Tom Smith and Timo Peters, head of process insights and value for Bayer, about how Celonis decided to use machine learning (ML) and a large language model to identify value improvement opportunities.

Interested in more AI Insights? Take our AI Ecosystem course available on demand. Discover how AI has created a new ecosystem of partnerships with a fresh spirit of customer-centric cocreation and renewed focus on reimagining what is possible.

Highlights

00:12 — Celonis has been experimenting with machine learning to automatically generate insights on opportunities for value improvement.

00:26 — The company is able to identify common problems with this technology.

00:50 — Monkman describes Celonis they decided to use a large language model to enable users to gain an explanation of the insights provided by process mining and a new Celonis copilot.


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Analystuser

Tom Smith

Editor in Chief, analyst, Cloud Wars

Areas of Expertise
  • AI/ML
  • Business Apps
  • Cloud
  • Digital Business

Tom Smith analyzes AI, copilots, cloud companies, and tech innovations for Cloud Wars. He has worked as an analyst tracking technology and tech companies for more than 20 years.

  Contact Tom Smith ...

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