INDUSTRY 4.0 - MADE REAL
Industry 4.0 – Made Real with Practical Insights Today Enabling Profits Tomorrow
Cloudera, Accenture, Dell, Intel, and Microsoft have engaged to deliver frank conversations in solving Industry 4.0 challenges with the digital event “Industry 4.0 - Made Real”. Hear from industry leading experts in a panel style discussion on topics that challenge the success of Industry 4.0 scalability, ROI and success. Ideally suited for business leaders and IT professionals that are working to differentiate their business through the benefits of Industry 4.0.
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Address the Challenges in Launching and Scaling IoT Use Cases
Webinar
Getting Started and Common Pitfalls
webinar
Factors Critical to the Success of a Pilot
Webinar
Scaling from POC to Production
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Master the Data Lifecycle for Better Outcomes
Webinar
Defining a Data Lifecycle Architecture
webinar
Data Diversity Enabling Manufacturing Agility
Webinar
Optimization through the Ecosystem and Closing Comments
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EXECUTIVE SUMMARY
In this quick read, you will learn the state of the automotive industry's Industry X.0 survey results and actionable insights.
Whitepaper
The Center for Automotive Research complete and detailed whitepaper on the automotive industry's Industry X.0 survey results focused on people, technology & data, and process.
INDUSTRY DATASHEET
Learn how to drive industrial insight through effective data management.
Ebook
Data drives Industry X.0. Learn the top five data and analytics use cases that are being implemented in the automotive industry's Industry X.0 initiatives.
Data ingestion is the first step in successful Industry X.0 use cases
Enabling predictive maintenance
This short video will help you understand how Cloudera Data Flow enables predictive maintenance.
The basics of Cloudera DataFlow (CDF)
CDF is a comprehensive edge-to-cloud real-time streaming data platform that collects, curates, and analyzes data so customers gain key insights for immediate actionable intelligence.
Data-in-motion philosophy
A blueprint for enterprise-wide streaming data architecture.