Remove practice-management sustainability
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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Journey to AI blog

AI can be a force for good, but it might also lead to environmental and sustainability concerns. IBM is dedicated to the responsible development and deployment of this technology, which can enable our clients to meet their sustainability goals. Therefore, it is critical to design and manage systems sustainably.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Journey to AI blog

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. CEOs say that sustainability investments will help drive better business results in the next 5 years.

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AI Drives Improved Supply Chain Sustainability

Unite.AI

Artificial intelligence (AI) offers multiple avenues for improving supply chain sustainability. Integrating AI into supply chain management can result in optimized operations, reduced waste, better demand forecasting and more environmentally friendly practices. Here's how AI is driving supply chain sustainability.

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Examples of sustainability: How new efforts are shaping the environmental future

IBM Journey to AI blog

As the world grapples with the realities of climate change , sustainability has evolved from a buzzword to a global imperative. Today, sustainability efforts are being shaped by new urgency and new technology. What is sustainability?

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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How generative AI will revolutionize supply chain 

IBM Journey to AI blog

Unlocking the full potential of supply chain management has long been a goal for businesses that seek efficiency, resilience and sustainability. From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless.

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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. Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies.

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