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Gartner Explores Tech Innovations in Integrated Risk Management

John Wheeler

This week, we kicked-off a major research effort to explore current innovations in the rapidly expanding integrated risk management (IRM) market. Given that Gartner forecasts double digit growth (12.6%) for the IRM technology market in 2021 , the nature of these innovative product uses will span 10 use case domains (see figure below).

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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

There are IoT solutions that can assist them in collecting data and performing analytics for inventory management. l Improved Risk Management. IoT implementation simplifies your organization and aids in creating precise forecasts, both of which are critical for increasing corporate efficiency.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Key strategies for effective supply chain management There are a number of ways that companies can better optimize and manage their supply chains. Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs.

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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

And it has quite some catching up to do – the smart manufacturing industry is set to grow from $250 billion in 2021 to $658 billion in 2029. The more data you have, the more costs you save.

IoT 103
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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. By analyzing asset data, companies can identify inefficiencies, uncover cost-saving opportunities and make more accurate budget forecasts.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

In this at-times contrarian and unflinching book, Dr. Barry Devlin shows how modern BI often fails to deal with data from mobile, social media, and the Internet of Things in a meaningful way. Data Smart’ contains enough practical knowledge to actually start performing analyses by using good old Microsoft Excel.

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