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Home Technology Big Data and Analytics

AI and data governance: key trends shaping supply chain success

FutureIoT Editors by FutureIoT Editors
September 30, 2024
Photo by fauxels: https://www.pexels.com/photo/photo-of-person-using-laptop-3183174/

Photo by fauxels: https://www.pexels.com/photo/photo-of-person-using-laptop-3183174/

Gartner has identified composite AI and supply chain data governance as the most impactful technology trends for supply chain planning (SCP) leaders. Eva Dawkins, director analyst at Gartner says SCP leaders are now focused on creating transformation roadmaps that emphasise advanced decision intelligence and automated decision-making.

Composite AI, which integrates various AI techniques to enhance learning efficiency, plays a crucial role in optimising and automating planning activities at scale. This trend is particularly vital as SCP leaders navigate increasing uncertainties and economic challenges. Meanwhile, effective supply chain data governance serves as the essential foundation for digital transformation, ensuring data quality and accessibility.

To maximise the value of technology investments, Gartner advises a shift from IT-led to business-led digital leadership. SCP leaders should spearhead multidisciplinary teams to enhance business operations and technology adoption. A well-defined governance process that incorporates stakeholder feedback is crucial for prioritising supply chain planning technologies.

The top technology trends for SCP leaders include:

Composite AI: This approach addresses the complexities and uncertainties in supply chain management by leveraging a diverse range of AI techniques, rather than relying on a single method. By broadening their AI toolkit, organisations can develop composite strategies that optimise various planning functions.

Supply chain data governance: Establishing a robust data governance framework is key for ensuring the quality and reliability of supply chain data. This framework formalises how data is identified, defined, controlled, and accessed. Strong governance is often a precursor to successful digital transformation, fostering trust and user adoption.

Dawkins emphasises that a solid data governance strategy not only supports advanced technologies like composite AI but also enhances collaboration within the supply chain ecosystem. Without prioritising data governance, SCP leaders may struggle to achieve the intended returns on their technology investments.

Related:  Japan’s Rakuten, Seiyu start domestic drone delivery to Sarushima
Tags: Artificial Intelligencedata governanceGartnersupply chain management
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