Remove Internet of Things Remove Metrics Remove Risk Management Remove Technology
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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

The Relationship between Big Data and Risk Management. Big data calls for complex processing, handling, and storage system, which may include elements such as human beings, computers, and the internet. Tips for Improving Risk Management When Handling Big Data. Risk Management Applications for Analyzing Big Data.

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The journey to a mature asset management system

IBM Big Data Hub

Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

It includes everything from product development and strategic decision-making to information systems and new technologies. To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Because finding the right suppliers can be challenging, some businesses turn to technology to help.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

EAM systems can include functions like maintenance management, asset lifecycle management , inventory management and work order management, among others. Predictive and preventive maintenance : The advent of IoT and AI technologies has transformed EAM systems into predictive maintenance tools.

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How to Protect Your Small Business from Cyberattacks with Data Analytics

Smart Data Collective

One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. There is actually an entire field known as cybersecurity analytics , which as its name implies, uses data analytics technology to create more robust cybersecurity solutions.

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Contingency plan examples: A step-by-step guide to help your business prepare for the unexpected

IBM Big Data Hub

For example, how you react to a disruptive technology or cope with a sudden change in the markets can be the difference between success and failure. Team members discuss possible risks, analyze the risk impact of each one and propose courses of action to increase their overall preparedness.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Life insurance needs accurate data on consumer health, age and other metrics of risk. And more recently, we have also seen innovation with IOT (Internet Of Things). And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. This stuff works.

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