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The journey to a mature asset management system

IBM Journey to AI blog

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. This approach provides actual real data points for ESG reporting instead of model-based assumptions, which helps reduce carbon footprint and achieve sustainability goals.

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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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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.

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Holistic asset management for utility network companies

IBM Journey to AI blog

The grid itself must green to operate within the environmental, social and governance (ESG) objectives and become carbon neutral by 2050. A shared data model across operating systems serves as the basis for integration, simulation, prediction and optimization by using generative AI models to drive next-level business value.

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How deep industry expertise enables breakthrough technology for today’s complex business needs

IBM Journey to AI blog

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. Businesses are now entering an even greater digital era marked by broader applications of AI, including generative AI models.

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IBM Connected Trade Platform helps power the digitization of trade and supply chain financing

IBM Journey to AI blog

Supplier visibility and traceability is growing in importance to help achieve environmental, social and governance (ESG) targets. From a buyer’s perspective, it can drive significant improvement in working capital, superior supplier performance and accelerated ESG initiatives.

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