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What's the Real Traction on Blockchain in the Supply Chain?
| November 10, 2019
Ireland’s closest multi-modal port to continental Europe, is connected by road and rail to a national transport system that can get goods to their destination in a prompt and efficient manner.
Article | February 18, 2020
With 2020 well underway, it’s a great time to pick a hot industry topic and subject it to a “state of the state” evaluation. And where better to start than Artificial Intelligence (AI) in the supply chain market? During this frothy, buzzword-laden phrase, we’ve seen a lot of shiny objects competing to exploit legitimate excitement around Artificial Intelligence, and in the process they may be creating confusion. Exhibit A: AI-powered yoga pants. Exhibit B: the realistic but totally fake human faces created by generative adversarial networks (GANs).
Article | March 9, 2020
Chief Supply Chain Officers (CSCOs) and their organizations often struggle to optimize decision making and manage disruptions because they lack end-to-end visibility. More than 75 percent of CSCOs and supply chain leaders report that they have “very limited” supply chain visibility— and 65 percent say they have limited or no visibility beyond Tier 1 suppliers. The overwhelming amount of data spread across siloed systems and external sources is a familiar challenge among CSCOs – but they don’t always know how to address it. AI has emerged among best-in-class supply chain organizations as a textbook solution to enable end-to-end supply chain visibility.
Article | March 6, 2020
Companies everywhere are paying attention to consumer demand for greener products and processes. Therefore, the world’s supply chains are becoming circular rather than linear. Manufacturers are looking at ways to improve product longevity and the ease with which they can recover, repair and resell goods.
Article | March 10, 2020
There’s no shortage of challenges for the logistics industry, whether it’s growing global tensions or trade wars. But technology is providing opportunities for improvement – and artificial intelligence (AI) is driving a lot of that change. Data in logistics was historically underutilised. But now the ability to capture and organise big data is enabling innovation in advanced analytics, automation and artificial and augmented intelligence – optimising entire delivery cycles as a result.
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