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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. Tips for Improving Risk Management When Handling Big Data. Risk Management Applications for Analyzing Big Data.

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

datapine

In an interview with the Wall Street Journal, Matthias Winkenbach , director of MIT’s Megacity Logistics Lab, details how last-mile analytics are yielding useful data. In other words, UPS found that turning into oncoming traffic was causing a lot of delays, wasted fuel, and increased safety risk. million miles.

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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. Because finding the right suppliers can be challenging, some businesses turn to technology to help.

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Future Proof: Technology Solves for Business Value

CIO Business Intelligence

Implementing new technology for enterprise transformation brings increased responsibility to ensure the organization and its customers are protected from emerging risks associated with that new technology. Organizations must use it to improve business value or risk having it used against them by their competitors.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale is a challenge. “We

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

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Edge Computing is Thriving in the Cloud Era

CIO Business Intelligence

The first wave of edge computing: Internet of Things (IoT). For most industries, the idea of the edge has been tightly associated with the first wave of the Internet of Things (IoT). As the potential risk outweighed the unproven benefits, many felt it was prudent to take a wait-and-see attitude.

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