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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Finally, unexpected or unavoidable events, like the blockage of a major trade route or unprecedented and severe storms , can cause catastrophic delays that shut down manufacturing or prevent trade from coming or going to a region. You can use predictive analytics tools to anticipate different events that could occur.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. By developing contingency plans and resilient supply chains, companies can continue to operate even when unexpected events occur. Because finding the right suppliers can be challenging, some businesses turn to technology to help.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. The answers to these foundational questions help you uncover opportunities and detect risks. Why do risk and opportunity events matter? and “What is the financial impact?”.

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How Data Analytics Is Changing The Insurance Industry

Smart Data Collective

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics.

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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. Access to asset/system simulations can enable more proactive maintenance planning, improved decision-making and better risk management.

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How to Manage Risk with Modern Data Architectures

Cloudera

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Push predictive analytics to optimize operations and enhance profitability. AI-ify risk management. Practice real-time risk management. Automate wealth management.