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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Because of the low cost and ubiquity of fast mobile internet and GPS-enabled smartphones, as well as the spread of the Internet of Things through sensors and scanners, shippers are able to see how the delivery process goes from start to finish – even during the last mile. Where is all of that data going to come from?

Big Data 275
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Gartner Explores Tech Innovations in Integrated Risk Management

John Wheeler

This week, we kicked-off a major research effort to explore current innovations in the rapidly expanding integrated risk management (IRM) market. Given that Gartner forecasts double digit growth (12.6%) for the IRM technology market in 2021 , the nature of these innovative product uses will span 10 use case domains (see figure below).

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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

Moreover, with the help of an AI development company , businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control. l Improved Risk Management. What Do You Need to Get a Deeper Understanding of the Internet of Things (IoT)?

IoT 132
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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. Automation Automation can streamline supply chain operations, from order fulfillment to inventory tracking.

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Examples and uses of GIS

IBM Big Data Hub

Weather forecasting As extreme weather events increase in intensity and frequency across the globe, planning and preparing for them is crucial for governments and organizations alike. More accurate forecasts use real-time data and digital maps to help companies better predict and respond to weather events, reducing impacts to operations.

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When natural disasters strike Japan, ?ita University’s EDiSON is ready to act

CIO Business Intelligence

A nation known for innovative efficiency was a failure in one key area It goes without saying that the faster and more effectively disasters can be forecasted, detected, and responded to, the better the chance of minimizing damage and saving lives. And the key to success is having data that can be analyzed for actionable insights.

IoT 82
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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Cost control and budgeting : EAM systems provide valuable insights into asset performance as it relates to maintenance costs.