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Taming GenAI to Automate Business Processes: The Aloma Example

Published 11 Jul 2024
Reference 6895
Topic Strategy
Region Europe
Length 14 page(s)
Language English
Summary

With the arrival of machine learning and big data, discussion in the C-suite and boardroom has shifted to how artificial intelligence (AI) can accelerate digital transformation. AI-driven business transformation, which began with predictive AI, has now moved on to a new wave of generative AI (GenAI) solutions and its impressive capabilities. What trade-offs should companies evaluate when adopting GenAI tools and how best to incorporate them in the ever-evolving mix of non-AI and predictive AI systems? What should they pay attention to when integrating them with existing systems? Where should they use them (and where not)? What role do humans play in the loop? What changes does all this entail for the organization?

Teaching objectives

-Identify key challenges in implementing business process automation -Analyze the challenges associated with the use of GenAI technologies and their specific application to automation initiatives -Evaluate the organizational culture required to embrace GenAI and its disruptive capabilities for process automation

Keywords
  • Artificial Intelligence
  • Generative AI
  • Business Process Automation
  • Digital Transformation
  • SDG9 Industry, Innovation and Infrastructure
  • Q32024