Remove Data Collection Remove Digital Transformation Remove IoT
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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030. trillion by 2030.”.

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3 Ways AIOps Drives Digital Transformation

CIO Business Intelligence

Relevant datasets: There is no AI without relevant data – lots of relevant data. AIOps can be designed ground-up with data collection at its heart. It is important to note, though, that only performance data should be gathered from the different layers of the infrastructure stack, not customer data.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. We have simplified this journey into five discrete steps with a common sixth step speaking to data security and governance. Data Collection Challenge. STEP 1: Collecting the raw data.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. From my perspective, that was the single most significant data innovation trend of the year 2020.

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How Celanese makes people central to its digital transformation

CIO Business Intelligence

At the same time, the company is undergoing a massive digital transformation. What is the business transformation underway at Celanese? We’re leading a digital transformation focused on three pillars: the customer experience, manufacturing, and supply chain.

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

CIO Business Intelligence

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

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The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3

Cloudera

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.

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