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Generative AI use cases for the enterprise

IBM Services

Fraud detection and risk management : Generative AI can quickly scan and summarize large amounts of data to identify patterns or anomalies. However, we may see a significant leap in generative AI capabilities by 2040. However, human judgment and oversight are still necessary for making final decisions and ensuring fair outcomes.

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Future-proofing Insurance: Embracing Sustainability in Insurance for a Resilient Future | Blog

Everest Group

With this approach, we can strategize effectively, choosing paths that optimize financial gains, enhance social impact, or minimize risks. As financial intermediaries and risk managers, insurers have a unique ability to drive and support sustainable practices across different industries and communities.

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How digital technologies can decode challenges in LNG Trading

Infosys Consulting

The global LNG volume traded is expected to grow up to 700 MTA by 2040, with major growth concentrated in the Asian and European regions as demand centers. Managing commodity risk, market risk, credit risk, and operational risks. He has completed MBA, specializing in Oil & Gas Management.

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Technology for sustainability: How AWS is influencing a green future

Capgemini

With 240 fully featured services and a presence in 33 geographic regions, AWS aims to achieve net zero carbon emissions by 2040 , ten years ahead of the Paris Agreement. Climate risk management: Gen AI can predict climate-related risks, such as wildfires and floods.