Enterra Insights
JANUARY 18, 2024
He states, “Data has been viewed as a trustworthy and unbiased way to make smart decisions. As we tackle the rise of AI-generated data, organizations will need to spend time and oversight validating the data or risk hallucinated results.”[3] ” AI Regulation.
The Logistics & Supply Chain Management Society
DECEMBER 8, 2021
Talent gaps in logistics and supply chain, continues to be a top challenge and a source of high risk for many companies. The source of such disconnects, is related to the information gap among the three parties. They are expected to retire between now and 2029 creating a big gap of skilled logistics professionals. Industry 4.0
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QAD
MAY 18, 2023
Those sourcing requirements are scheduled to increase by 10% every year beginning in 2023. The Inflation Reduction Act aims to ensure critical minerals are sourced ethically and sustainably, as well as in a manner that helps stimulate US manufacturing growth. That’s right.
Synovos
JULY 24, 2023
It has also reduced its Scope 3 transportation emissions intensity by 28% since 2019/20, thereby achieving its 2029/30 goal seven years early. This has been made possible through modal shifts from air to sea or air to road and optimizing its supply chain to source, store and ship more products locally.
ThroughPut
MARCH 28, 2024
billion by 2029. Analyzing huge amounts of data can help monitor nutrient levels in the soil, and detect signs of pest infestation or diseases, resulting in healthier crops. Data collected from drones, sensors, and satellites can be analyzed by farmers to save time, and costs related to field trials, food inspections, and more.
DynaSys
NOVEMBER 10, 2021
Digital supply chains are: widely connected to both internal and external systems and data sources. In a digital supply chain data is an asset to be leveraged to extract value, not an expense to be minimized. For example; with a traditional planning model data is sourced and stored within the four walls.
Vinculum
MARCH 18, 2021
Many concepts are already underway in the market, including robotic processes, intelligent material handling, data-driven decision making, and labour optimization. Hence, warehouse automation technologies are emerging and enabling warehouse operators to address challenges through real-time data.
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