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Data Analytics Solves Manufacturing Marketing Agency Challenges

Smart Data Collective

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

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IoT And Cloud Integration is the Future!

Smart Data Collective

From smart homes to wearables, cars to refrigerators, the Internet of Things (IoT) has successfully penetrated every facet of our lives. The market for the Internet of Things (IoT) has exploded in recent years. Cloud computing offers unparalleled resources, scalability, and flexibility, making it the backbone of the IoT revolution.

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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

But when tossing away thousands of diapers damaged during the manufacturing process becomes an everyday occurrence, something has to be done to provide relief for the bottom line. That’s when P&G decided to put data to work to improve its diaper-making business. That’s why The Proctor & Gamble Co.

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When will AI usher in a new era of manufacturing?

CIO Business Intelligence

Manufacturing processes are industry dependent, and even within a sector, they often differ from one company to another. Moreover, lowering costs is not the only way manufacturers gain a competitive advantage. Companies across a multitude of industries are now using AI to improve their manufacturing processes.

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Invest In The Right IoT Trend And Profit More In 2020

Smart Data Collective

Recently, IoT is creating a lot of buzz in the tech industry. From parking spaces of your home to refrigerators, coffee machines, dishwashers, lights and locks of your house – IoT is bringing almost every home appliances and other everyday physical objects into the digital fold. IoT in Manufacturing.

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

Cloudera

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways. Brent Biddulph: .

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

Cloudera

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Supply-side. Automation opportunities.