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The article focuses on Infor's strategy of embedding AI agents within specific industry workflows to solve practical automation challenges, highlighting the shift from generic models to vertical-specific implementations. It addresses critical hurdles like trust and observability in deploying autonomous decision-making agents across complex supply chains. This represents a significant development in applying machine learning to real-world enterprise processes rather than discussing foundational research or consumer applications.
Infor combines industry expertise and embedded engineers for process automation
AI-powered process automation requires software that understands the industry and workflows it serves. Moving from a promising prototype to practical use also requires implementation expertise. Infor (US) LLC develops software around the specific processes its customers use in their industries. Its approach combines industry-specific agents, deep vertical expertise and an open architecture, according to Kevin […] The post Infor combines industry expertise and embedded engineers for process automation appeared first on SiliconANGLE.
AI-powered process automation requires software that understands the industry and workflows it serves. Moving from a promising prototype to practical use also requires implementation expertise. Infor LLC develops software around the specific processes its customers use in their industries. Its approach combines industry-specific agents, deep vertical expertise and an open architecture, according to Kevin Samuelson (pictured, left), chief executive officer of Infor.…
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