AI Adoption Surges in Supply Chains as Companies Prioritize Network Intelligence
“In most network design and optimization cases, traditional AI or Machine Learning (ML) remains sufficient to run necessary analysis, but Generative AI is beginning to play a role in creating more intuitive interfaces for users to interact with system data,” said Ryan Wiggin, Senior Analyst.
To support AI adoption, organizations are increasingly moving their systems to the cloud. Two-thirds of respondents are either in the process of rolling out or have fully implemented public cloud infrastructure for their applications. Private clouds are also receiving interest, but over 60% of respondents remain in the consideration or Proof-of-Concept (PoC) stage.
“Less than half of respondents currently have the capability to perform prescriptive and predictive analytics, highlighting a gap between ambition and readiness. Agentic AI systems are beginning to deliver more predictive insights, but usage remains in the early stages. Data management and model customization will be crucial for organizations to unlock the value of AI agents,” concluded Wiggin.
