Remove Events Remove Forecasting Remove Risk Remove Risk Management
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Mitigating the impact of climate change in insurance and other financial services  

IBM Big Data Hub

As the effects of climate change intensify, extreme weather events are becoming increasingly frequent and severe. The US experienced 25 extreme weather events in 2023, each causing losses of over USD 1 billion, with a total cost of USD 73.8 These climate events have a huge potential impact on financial institutions.

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How generative AI will revolutionize supply chain 

IBM Big Data Hub

From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless. Generative AI, with its ability to autonomously generate solutions to complex problems, will revolutionize every aspect of the supply chain landscape.

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9 Great Reasons to Join the DataRobot AI Experience Virtual Event Jun 7-8

DataRobot Blog

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Join the virtual event sessions in your local time across Asia-Pacific, EMEA, and the Americas. Join DataRobot AIX June 7–8.

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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. Automation Automation can streamline supply chain operations, from order fulfillment to inventory tracking.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

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4 strategic sourcing use cases to strengthen your supply chain

IBM Big Data Hub

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. It also can help optimize transportation costs and service-level agreements as well as improve inventory management and visibility. This technology can also help reduce the risk of regulatory non-compliance.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market. In other words, extreme events occur far more frequently than predicted by the normal distribution.

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