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Predictive analytics helps Fresenius anticipate dialysis complications

CIO

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

IT or Information technology is the industry that has registered continuous growth. It was in a better situation even in the COVID-19 situation than other industries. However, the ever-growing IT industry has encouraged the young generation and current professionals to find their ideal career opportunities. Data Scientist.

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IoT Analytics: The New Frontier in Business Intelligence

QBurst

The data engineering that precedes analytics was covered in our previous post, Data Engineering: The Heavy Lifting Behind IoT. Incontestably, industrial IoT’s claim to fame is the visibility it brings to previously inaccessible phenomena. […].

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Data analytics: your complete guide to big data consulting

Agile Engine

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7.

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Driving manufacturing transformation in the aerospace industry

Capgemini

Across industries, operations managers understand that “digital” has indeed unlocked a new wave of performance improvement opportunities. New technologies make it possible to leverage the wealth of data locked in production equipment and improve its reliability, performance, and flexibility. Industry 4.0

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What CEOs really need from today’s CIOs

CIO

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.”

SDLC 334