2021 Data-driven IoT Predictive Analytics 
CIO Business Intelligence
AUGUST 25, 2023
That’s when P&G decided to put data to work to improve its diaper-making business. Data-driven diaper analysis During the diaper-making process, hot glue stream is released from an automated solenoid valve in a highly precise manner to ensure the layers of the diaper congeal properly.
CIO Business Intelligence
SEPTEMBER 30, 2022
What you need to know about IoT in enterprise and education . In an era of data driven insights and automation, few technologies have the power to supercharge and empower decision makers like that of the Internet of Things (IoT). . As the adoption of IoT devices is expected to reach 24.1 billion by 2029.
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Rocket-Powered Data Science
MARCH 19, 2021
How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. Well, that statement was made five years ago!
CIO Business Intelligence
OCTOBER 1, 2022
P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. P&G can now better predict finished paper towel sheet lengths. It also involves large amounts of data and near real-time processing.
Cloudera
AUGUST 18, 2021
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. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. technologies.
Smart Data Collective
AUGUST 26, 2021
Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips. As long as a user is connected to the internet, they can check the current weather, as well as 7-day or 14-day predictions using their smartphone or computer. These data-driven predictions also tend to be surprisingly accurate.
Cloudera
SEPTEMBER 24, 2021
One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.
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