Remove Big Data Remove Data Remove Internet of things
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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. Health insurance companies may find data capture by IoT-enabled wearables useful for detecting frauds and validating claims.

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The Business Success Impact of Digital Transformation | KaiNexus

Kainexus

The transformation includes various technological advancements, such as cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and automation.

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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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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. How are sustainable technological solutions enabling Smart Water Management (SWM)?

Data 78
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

However, the development of technologies like RPA, AI, and the Internet of Things is making up for these constraints, making production and supply chains more agile and bringing manufacturing well and truly into the era of Industry 4.0. AI and IoT interventions, too, need data to do their jobs effectively.

Data 52
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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

However, the development of technologies like RPA, AI, and the Internet of Things is making up for these constraints, making production and supply chains more agile and bringing manufacturing well and truly into the era of Industry 4.0. AI and IoT interventions, too, need data to do their jobs effectively.

Data 52
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Strategic Planning and the Demand for Innovation

Leapfrogging

Customer Insights : Look to your customers; what they’re saying and the data you gather can spell out their likes and pain points. Here are some tech routes you might explore: Big Data Analytics : Dive into data to see what makes your customers tick, and spot trends and efficiencies.