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Vestas: Turning Climate into Capital with Big Data - IBM Industrial IoT Case Study
Vestas: Turning Climate into Capital with Big Data
IBM
Making wind a reliable source of energy depends greatly on the placement of the wind turbines used to produce electricity. Turbulence is a significant factor as it strains turbine components, making them more likely to fail. Vestas wanted to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs.
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Stepping up Production While Keeping Costs Down with Smarter Maintenance - IBM Industrial IoT Case Study
Stepping up Production While Keeping Costs Down with Smarter Maintenance
IBM
To achieve its goal of doubling production capacity while keeping tight control of costs, major shoe manufacturer PT Chang Shin Indonesia set out to unlock greater efficiencies in its operations.
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Responding to Business Needs More Quickly - IBM Industrial IoT Case Study
Responding to Business Needs More Quickly
IBM
Qualcomm’s IT staff found performance and manageability of existing large data warehouses were becoming difficult as data volumes and business demands increased. IT staff was challenged in responding quickly enough to new business projects.
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Serving Members, Increasing Competitiveness through Innovation and Rapid Time to Market - IBM Industrial IoT Case Study
Serving Members, Increasing Competitiveness through Innovation and Rapid Time to Market
IBM
Blue Shield of California wants to better support members and boost competitiveness by accelerating the provisioning of new systems while improving IT agility to get new offerings to market fast.
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Point Defiance Zoo & Aquarium Uses IBM Big Data Analytics to Better Engage the Millennial Visitor - IBM Industrial IoT Case Study
Point Defiance Zoo & Aquarium Uses IBM Big Data Analytics to Better Engage the Millennial Visitor
IBM
On a daily basis, millions of data records are generated on visitor exhibit and special event preferences and participation in conservation initiatives. Significant visitor feedback is also generated on social channels, such as Facebook, which reveal visitor likes and dislikes and other feedback on overall zoo operations. The zoo needed a lens to focus on the actionable insights that emerge from this massive amount of information.
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