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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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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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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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How to accelerate your data monetization strategy with data products and AI

IBM Journey to AI blog

Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products. Data products come in many forms including datasets, programs and AI models. Platform builders and operators can use AI models to build tools.

ESG 315
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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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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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