• #215 Manuel Haug: How Celonis Uses AI to Optimize Business Processes

  • Oct 23 2024
  • Length: 44 mins
  • Podcast

#215 Manuel Haug: How Celonis Uses AI to Optimize Business Processes

  • Summary

  • This episode of Eye on AI is sponsored by Citrusx.

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    In this episode of the Eye on AI podcast, we dive into process intelligence with Manuel Haug, Field CTO at Celonis.

    Manuel shares how process mining is transforming business operations by connecting directly to digital systems to map workflows, optimize processes, and boost efficiency. He explains how Celonis builds digital twins of business processes, allowing companies to visualize and resolve inefficiencies with data-driven insights.

    Manuel also explores the role of AI in process optimization, discussing the integration of generative AI and AI agents in Celonis. From automating repetitive tasks to enabling strategic decision-making, Manuel details how AI agents can enhance workflows, reduce costs, and deliver measurable productivity gains across industries.

    Tune in to learn how AI agents are evolving, the potential of process intelligence graphs, and how Celonis is pioneering the future of autonomous enterprises.

    Whether you're in business, tech, or curious about the impact of AI, this episode offers valuable insights into next-gen process optimization.

    Don’t forget to like, subscribe, and turn on notifications for more episodes on AI, automation, and digital transformation!

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    (00:00) Introduction to Manuel Haug & Celonis

    (01:07) Understanding Process Intelligence

    (07:14) Integrating AI into Process Mining

    (12:12) Generative AI’s Role in Process Optimization

    (15:18) Challenges of Large-Scale Process Integration

    (20:24) Role of AI Agents in Process Automation

    (23:43) AI Maturity & Implementation in Enterprises

    (27:23) Real-Life AI Agent Examples

    (30:47) Building and Integrating AI Agents

    (34:53) Future of AI Agents in Enterprises

    (37:56) Introducing the Process Intelligence Graph

    (39:20) Addressing Data Privacy Concerns

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