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Oracle Advances its AI-Enabled Supply Chain Management Suite

David Menninger's Analyst Perspectives

Predictive analytics also can be used to signal when forecasts or forecast components diverge from plan, allowing enterprises to react to changing circumstances sooner and with greater accuracy and coordination. This helps them maintain optimal inventory levels, reducing costs as well as the risk of overstocking or stockouts.

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IT resiliency: Running two different hypervisors

CIO Business Intelligence

Organizations can maintain high-risk parts of their legacy VMware infrastructure while exploring how an alternative hypervisor can run business-critical applications and build new capabilities,” said Carter. Having a Plan B is table stakes for any IT team. This may involve embracing redundancies or testing new tools for future operations.

IT 107
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Marsh McLennan IT reorg lays foundation for gen AI

CIO Business Intelligence

One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age.

IT 119
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OpenAI Prepares for Ethical and Responsible AI

Analytics Vidhya

This comprehensive strategy mainly aims to measure and forecast potential risks associated with AI development. OpenAI, the renowned artificial intelligence research organization, has recently announced the adoption of its new preparedness framework.

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Modular architecture drives productivity and risk management at Gilbane

CIO Business Intelligence

Our analytics capabilities identify potentially unsafe conditions so we can manage projects more safely and mitigate risks.” Gilbane is one of the largest privately-held real estate development and construction companies in the US. The first three are operational value streams, where our customer is the recipient of the value,” she says.

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Turning climate risks into business opportunities 

IBM Big Data Hub

As businesses make plans to mitigate climate risks such as extreme weather events, they have an opportunity to innovate with new business models and demonstrate leadership by implementing more sustainable practices. What is climate risk? These risks can make it difficult or impossible for organizations to operate in affected locations.

Risk 60
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How to Manage Risk with Modern Data Architectures

Cloudera

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.