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The journey to a mature asset management system

IBM Journey to AI blog

Sensoring and monitoring also contribute to the direct measurement of sustainability environmental, social and governance (ESG) metrics such as energy efficiency and greenhouse gas emission or wastewater flows. The introduction of (generative) AI models in the asset management domain has brought a full toolbox of new optimization tools.

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How AI is helping companies meet sustainability goals

IBM Journey to AI blog

When I started a role as a leader for sustainability in Expert Labs , our professional technology services organization, I saw the potential for AI to help with energy efficiency, decarbonization , and waste reduction. Discover the current and emerging use cases for AI in waste management, optimization, energy reduction and ESG reporting.

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10 Companies Powering FinTech with Artificial Intelligence (AI)

Marktechpost

Scienaptic AI : Also based in New York, Scienaptic AI introduces a new era of credit underwriting. Using non-tradeline data and adaptive AI models, Scienaptic AI equips banks and credit institutions with predictive intelligence, thereby innovating the traditional underwriting process.

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The Role of Generative AI in Supply Chains

Unite.AI

Predictive AI does this by providing predictions and forecasts that are more accurate, discovering new patterns not yet identified, and using very high volumes of relevant data. Generative AI can take this a step further by supporting various functional areas of supply chain management.

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Watch This Space: New Field of Spatial Finance Uses AI to Estimate Risk, Monitor Assets, Analyze Claims

NVIDIA

By better understanding the environmental and social risks associated with an investment, the financial sector can choose to prioritize those that are more likely to support sustainable development — a framework known as environmental, social and governance (ESG). Ecopia uses NVIDIA GPUs to develop its AI models.

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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Journey to AI blog

But it makes sense for CIOs and CTOs to examine the many ways organizations have created business value from traditional AI as a starting point, and to extrapolate potential value from their generative AI test cases and quick wins. Thus, it’s wise for CTOs to factor sustainability into their generative AI adoption calculus.

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A Gartner, Inc.