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What companies get wrong about data transformation

CIO Business Intelligence

I think that speaks volumes to the type of commitment that organizations have to make around data in order to actually move the needle.”. So if funding and C-suite attention aren’t enough, what then is the key to ensuring an organization’s data transformation is successful? Analytics, Chief Data Officer, Data Management

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Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? It is frequently used for risk analysis.

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How Open Liberty and IBM Semeru Runtime proved to be the perfect pillars for Primeur

IBM Big Data Hub

Since its launch in 2020, DATA ONE has been successfully adopted by multinational companies across sectors, including insurance and banking, automotive, energy and utilities, manufacturing, logistics and telco. DATA ONE consists of three modules that can be activated as needed: Data Mover , a secure file-transfer enterprise solution.

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Improve power utility operational efficiency using smart sensor data and Amazon QuickSight

AWS Big Data

Data collection and processing are handled by a third-party smart sensor manufacturer application residing in Amazon Virtual Private Cloud (Amazon VPC) private subnets behind a Network Load Balancer. Bin is passionate about helping utilities achieve digital and sustainability transformations.

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How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

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What Is Embedded Analytics?

Jet Global

And Manufacturing and Technology, both 11.6 The sample included 1,931 knowledge workers from various industries, including financial services, healthcare, and manufacturing. Internal Application Consider this second example: an internal manufacturing application that helps process $2 million worth of product a year.