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Energy management in manufacturing: Tends, innovations and modern solutions

Dataconomy

and the Industrial Internet of Things (IIoT) for more than 10 years, what is the biggest challenge for manufacturing companies? It also allows for decision-making by connecting existing data silos within organizations. You have been involved in Industry 4.0,

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Energy management in manufacturing: Trends, innovations and modern solutions

Dataconomy

and the Industrial Internet of Things (IIoT) for more than 10 years, what is the biggest challenge for manufacturing companies? It also allows for decision-making by connecting existing data silos within organizations. You have been involved in Industry 4.0,

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Cloud-Based Data Storage Is Making Manufacturers More Agile

Smart Data Collective

Mechanical designs are increasingly intricate, software development is ever more powerful, not to mention more and more physical products are being incorporated into the internet of things or contain distinct software. Data silos have become one of the biggest restraints with using linear manufacturing processes.

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Exploring the fundamentals of online transaction processing databases

Dataconomy

This new breed of databases can handle complex modern-day transactional workflows, with the ability to support a wide variety of data types, scale up or out as needed, and run multiple workloads concurrently. Building in these characteristics at a later stage can be costly and resource-intensive.

Database 159
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8 Tips for Smart City Data Governance

ODSC - Open Data Science

Insufficient Resources The first data governance challenge cities face is insufficient resources. While technology like the Internet of Things (IoT) absorbs information quickly, there are few professionals to process it. Admittedly, there’s an overabundance of data.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning Blog

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 104
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Why the Next Generation of Data Management Begins with Data Fabrics

Dataversity

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.