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The CFO’s role in the age of generative AI

IBM Journey to AI blog

Through new approaches to financial management that incorporate generative AI , this advanced technology can help CFOs make more informed, data-driven decisions for their organization that can have major financial implications. The IBM report found that, on average, AI adopters attribute 40% of finance function FTE redeployment to AI.

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The path to embedded sustainability

IBM Journey to AI blog

Sustainability and ESG: An opportunity for synergy Sustainability and ESG are not synonymous. While ESG seeks to provide standard methods and approaches to measuring across environmental, social and governance KPIs, and holds organizations accountable for that performance, sustainability is far broader.

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The Role of Generative AI in Supply Chains

Unite.AI

Just as supply chain disruptions became the frequent subject of boardroom discussions in 2020, Generative AI quickly became the hot topic of 2023. Supply chains are, to a certain extent, well suited for the applications of generative AI, given they function on and generate massive amounts of data.

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How AI is helping companies meet sustainability goals

IBM Journey to AI blog

AI tools like ChatGPT are grabbing headlines, but other AI techniques and tools specifically designed for enterprises are quietly helping companies meet their sustainability goals. Classic AI is already being used widely today in various use cases, and generative AI is evolving rapidly to address new classes of use cases.

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

IBM Journey to AI blog

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.

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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. APM and AIP combine in the “Excellence” stage, and predictive generative AI creates intelligent processes.

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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.

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