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Gartner: data governance strategy is key to making AI pay off

Technology investments thrive under multidisciplinary teams, as strategy shifts from IT-led to business-led projects.

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DC Velocity Staff
By DC Velocity StaffOct 03, 2024
DC Velocity Staff
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Supply chain planning (SCP) leaders working on transformation efforts are focused on two major high-impact technology trends, including composite AI and supply chain data governance, according to a study from Gartner, Inc.

"SCP leaders are in the process of developing transformation roadmaps that will prioritize delivering on advanced decision intelligence and automated decision making," Eva Dawkins, Director Analyst in Gartner’s Supply Chain practice, said in a release. "Composite AI, which is the combined application of different AI techniques to improve learning efficiency, will drive the optimization and automation of many planning activities at scale, while supply chain data governance is the foundational key for digital transformation.”

Their pursuit of those roadmaps is often complicated by frequent disruptions and the rapid pace of technological innovation. But Gartner says those leaders can accelerate the realized value of technology investments by facilitating a shift from IT-led to business-led digital leadership, with SCP leaders taking ownership of multidisciplinary teams to advance business operations, channels and products.

“A sound data governance strategy supports advanced technologies, such as composite AI, while also facilitating collaboration throughout the supply chain technology ecosystem,” said Dawkins. “Without attention to data governance, SCP leaders will likely struggle to achieve their expected ROI on key technology investments.”

ArticleTechnologyStrategyEditorial
gartner, inc.
ArticleTechnologyStrategyEditorial
gartner, inc.

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