Remove Internet of Things Remove IoT Remove Predictive Analytics Remove Risk
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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.

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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. For example, while IoT devices offer advantages, many do not have built-in security and privacy features.

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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). This led to slowing adoption rates of IoT. Additionally, security concerns cooled wholesale adoption of IoT.

IoT 89
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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

Otherwise, they risk quickly becoming overwhelmed by massive volumes of data captured in different formats from a diversity of sources, including Internet of Things (IoT) sensors, websites, mobile devices, cloud infrastructures, and partner networks. . Rethinking the Data Lifecycle.

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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.