Remove Big Data Remove Internet of things Remove Management
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Applications and innovations in the Internet of Things (IoT)

hackerearth

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. IoT devices are invaluable in hospitals for infection control, pharmacy inventory management, and environmental monitoring such as temperature and humidity. Smart Home.

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The evolution of product management trends

Sopheon

With over 30 years of experience, Mike Bauer is a product and strategy executive who has managed and overseen more than 100 products across data communication, enterprise software, connected products, the Internet of Things (IoT), marketing automation, embedded systems, and big data.

Trends 98
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Smart and connected devices change everything

Jeffrey Phillips

The headline suggests that I think we should forget IoT, the ubiquitous internet of things. This is when we enter the era of Really Big Data (RBD). People today talk about Big data - data lakes, data estates and so on. Forget IoT?

Change 164
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Jumping to a fresh cycle of innovation design

Paul Hobcraft

I have argued in the past that innovation management needs to radically adjust and needs to be designed differently, it needs to be highly adaptive. We need to consider how big data and analytics, technology and a far more creative thinking needs to be applied collectively but in greater constellations of partners.

Design 232
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How the Digital Revolution is Transforming Automotive Supply Chains

Planview

This integration facilitates the management and optimization of supply chain activitiesfrom the initial design and development of automotive components to manufacturing, distribution, and final delivery to the customer. This allows for predictive insights, optimized decision-making, and proactive management of potential issues.

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Predictive Maintenance

eZassi

principles- such as the Industrial Internet of Things (IIoT), artificial intelligence (AI), and big data analytics- companies can predict equipment failures before they occur, reducing downtime, optimizing costs, and enhancing operational efficiency. Predictive Maintenance in Industry 4.0 By leveraging Industry 4.0

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Moreover, the most significant obstacle to water management has been the asset-intensive nature of the industry, with pipelines, pumps, and wells spread over acres of land, well beyond the control and management of a few plant operators. What is Smart Water Management?

Data 78