“ We expect a continued focus on predictive analytics , allowing businesses to better forecast both demand and shortages brought on by geopolitical tension and the continuously-changing climate ,” he adds .
“ Additionally , there will be an emphasis on improved integration so that AI and ML can more seamlessly integrate with existing systems and take little to no technical expertise to deploy and use .”
Greg emphasises , however , that the data management foundation is critical to rolling out AI and ML capabilities , comparing it to the machinery used by manufacturers to make cars .
He concludes : “ Companies that can effectively manage supply chain data from disparate sources – and create a trusted foundation of reliable , clean , governed data – can take advantage of the capabilities in AI and ML data management .”
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