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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. That brings us to the value of timely data and analytics. Democratization of data. Traditional supply chain analytics and decision-making focused on risk avoidance and control.

IoT 105
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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

Taking out the trash Division Drift has been key to disruptively digitize Svevia’s remit with the help of the internet of things (IoT), data collection, and data analysis. Since the route optimization came into place, fewer emptyings are required, he notes. This leads to environmental benefits and fewer transports.

Risk 88
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The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3

Cloudera

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.

IoT 93
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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.

IoT 56
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

IoT 80
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5 best practices for digital twin implementation

CIO Business Intelligence

These objections often include, “But we’ve always done it this way” (resistance to change), “It works just fine as is” (accepting the status quo which may be a sub-optimal solution), “Let’s wait until post-build” (pushing things off until later), “Let’s start with the metaverse” (being distracted by shiny objects), and more.

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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

From these data streams, real-time actionable insights can feed decision-making and risk mitigations at the moment of need. Such prescriptive capabilities can be more proactive, automated, and optimized, making digital resilience an objective fact for businesses, not just a business objective.