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Achieving Trusted AI in Manufacturing

Cloudera

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

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Covid-19 Accelerates The Need for Retail, Manufacturing Supply Chains To Adapt – Part 2

Cloudera

Supply chain visibility – COVID may accelerate deployment of IoT devices, data, and analytics to improve real-time visibility across the entire supply chain from a ‘track and trace’ perspective. The pandemic has been a call to action for both the manufacturing and retail industries and that is the bottom line with COVID.

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The extraordinary synergy of wi-fi and 5G in enterprise networks

CIO Business Intelligence

A severe thunderstorm is forecasted to roll through your suburb in the next hour. The benefits are extraordinary. As an IT leader, you deal with balancing benefits and budgets within the rapid pace of technological change every day. Consider the manufacturing environment. It’s Wednesday afternoon.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Manufacturing and Industry 4.0 For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. As we have seen, many leading auto part makers and car manufacturers use knowledge graphs to improve their operations. But the benefits of knowledge graphs don’t stop there.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We Production is another area that benefits from AI. “At We don’t want to just go off to the next shiny object,” she says. “We

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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

The following are the six stages of asset lifecycle management: Planning: In the first stage of the asset lifecycle, stakeholders assess the need for the asset, its projected value to the organization and its overall cost. Reduced maintenance costs and downtime: Monitor assets in real time, regardless of complexity.