Navigating supply chains with AI and data analytics
Supply Chain Digital explores the utilisation of AI and analytics with experts in the sector, particularly in regard to how it is shaping corporate attitudes to data. In an era calling for latency-sensitive applications, where the emergence of edge computing, 5G and artificial intelligence (AI) powered analytics are ushering in the possibility of real-time solutions, companies, now more than ever, are looking for the most efficient ways to make use of their data. The sheer volumes of information that can be gathered from every aspect of a business are overwhelming: with so much data available, where do you start when examining it? The challenge for modern supply chains is knowing where to place a strategic focus and not becoming paralysed by information overload, whilst also not excluding details that could increase efficiency, allow for better forecasts or enhance customer experience (CX). Grant Millard, Director of Technology at Vendigital, says that, prior to the advent of Big Data and analytics, companies struggled to deliver clear or credible data-based insights.
Mar-24-2020, 09:47:53 GMT
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