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The impact of AI on edge computing

CIO

Read more about the impacts AI at the edge is predicted to have on the manufacturing industry in this recent blog. Retail stores and smart homes can use AI at the edge technology to personalize user experiences. You can learn about more use cases that are finally in the realm of possibility within retail here.

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Organize and Process IoT Data Quickly Using AWS IoT Analytics

Cloud That

IoT device use has recently increased in applications such as agriculture, smartwatches, smart buildings, IoT retail shops, object tracking, and many more. Because IoT data is generally unorganized and difficult to evaluate, experts must first format it before beginning the analytics process. Creation of Channel. Then, click Next.

IoT 70
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ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudera

Australia and New Zealand Banking Group (ANZ), one of Australia’s Big Four banks and one of New Zealand’s top banks, offers commercial and retail banking and financial services from more than 1,100 branches and offices.

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Optimizing the Energy Sector with Data Analytics

Cloudera

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. Lastly, we examine retail companies, the energy marketers. The demand for energy in the retail market has been practically flat in recent years. Towards a better customer experience.

Energy 79
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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. The stories of organizations that have adopted streaming analytics speak for themselves.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. . Advanced analytics empower risk reduction . In summary, predicting future supply chain demands using last year’s data, just doesn’t work.

Analytics 108
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Data-driven cost optimization in retail Part 1: The value of using data to reduce costs

Capgemini

The growing economic uncertainties at the beginning of 2020 due to sudden and unforeseen developments are pushing retailers to fast-track cost-optimization initiatives to stay competitive and sustain their bottom lines. The data-driven, technology-enabled approach for cost optimization will position any retailer into the champions league.

Retail 80