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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

In today’s modern era, AI and IoT are technologies poised to impact every part of the industry and society radically. In addition, as companies attempt to draw better significance from the huge datasets gathered by linked devices, the potential of AI is accelerating the wider implementation of IoT. l Improved Risk Management.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption.

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How adopting sustainability as a service can drive business success and help the planet

CIO Business Intelligence

While organizations know they need to mitigate environmental risks more effectively across the supply chain, often they struggle to translate that ambition into results. There is a clear company risk in not being sustainable, both to the planet and to the business. Businesses need to do more than just track carbon output.

IoT 91
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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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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

This has become a priority for businesses that are trying to keep up with new technologies such as the cloud, IoT, machine learning, and other emerging trends that will prompt digital transformation. Bizzdesigns asked respondents what IT benefits their EA program currently delivers and the top response was improved IT investment decisions.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. But the benefits of knowledge graphs don’t stop there.

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

Corinium

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150