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Manuel Haug, Field CTO at Celonis and an expert in process mining, discusses the transformative power of AI in optimizing business processes. He explains how Celonis uses digital twins to visualize workflows and identify inefficiencies. The conversation delves into the integration of generative AI and AI agents, showcasing their role in automating tasks and enhancing strategic decision-making. Manuel also highlights the potential of process intelligence graphs, offering insights into the future of autonomous enterprises and the impact of AI on productivity across industries.
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Quick takeaways
- Process intelligence platforms, like Celonis, enable businesses to utilize data-driven insights for identifying inefficiencies and enhancing operational performance.
- The integration of AI, particularly through analyzing unstructured data, significantly streamlines operations and improves decision-making across various business departments.
Deep dives
Reconstructing Business Processes Through Data
The key innovation discussed involves using data from underlying IT systems to reconstruct how a company operates, rather than relying on traditional consulting methods like interviews. By connecting to these systems, companies can gain transparency on performance metrics such as response times to customer support requests and delivery timelines. This precise visibility enables organizations to identify inefficiencies, such as duplicate invoicing incidents, and implement measures to address these issues. Ultimately, this data-driven approach provides a foundation for meaningful operational changes and strategic decisions.
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