Remove Digital Transformation Remove Internet of Things 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.

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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. Joan Smith.

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Edge Computing is Thriving in the Cloud Era

CIO Business Intelligence

Experts agree that edge computing will play a key role in the digital transformation of almost every business. 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).

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

Cloudera

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies.

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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. It can also significantly increase uptime and lifespan.

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10 ways the oil and gas industry can leverage digital twin technology

IBM Big Data Hub

The use of digital twins is one such innovation. In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. In this context, a maintenance team would create a digital twin of a piece of equipment or machinery.

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO Business Intelligence

The procedure, often called kidney dialysis, cleansing a patient’s blood, substituting for the function of the kidneys, and is not without risk, however. Clinically, prediction is more useful if it predicts an IDH event for a given patient during an ongoing dialysis treatment.