Remove product ai principles
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A look into IBM’s AI ethics governance framework

IBM Supply Chain Blog

“Organizations are responsible for ensuring that AI projects they develop, deploy or use do not have negative ethical consequences,” as per Gartner. Yet while 79% of executives say AI ethics is important to their enterprise-wide AI approach , less than 25% have operationalized ethics governance principles.

Ethics 81
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Recurring Revenue: The Key to a Sustainable Bootstrapped Business

Procurement Express

As Jason Cohen, the renowned entrepreneur behind WP Engine, explains, a recurring revenue model is not just about predictable cash flow – it’s about aligning your business with how your customers want to consume and pay for your product. Embracing this nuance and tailoring your pricing accordingly can be the key to success.

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Balancing AI: Do good and avoid harm

IBM Supply Chain Blog

In the case of responsible artificial intelligence (AI), organizations should prioritize the ability to avoid harm as a central focus. Some organizations may also aim to use AI for “doing good.” ” However, sometimes AI requires clear guardrails before one can agree with “good.”

Ethics 103
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Celebrating the women of IBM AI Ethics

IBM Supply Chain Blog

For more than 100 years, IBM’s founding principles have inspired efforts to promote equality, fairness and inclusion in the workplace and society. Women have played key roles in initiatives throughout the organization, including the rise of AI. An increased presence of women in AI will also make it fairer and more inclusive.

Ethics 101
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Using generative AI to accelerate product innovation

IBM Supply Chain Blog

Generative artificial intelligence (GenAI) can be a powerful tool for driving product innovation, if used in the right ways. We’ll discuss select high-impact product use cases that demonstrate the potential of AI to revolutionize the way we develop, market and deliver products to customers.

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The importance of diversity in AI isn’t opinion, it’s math

IBM Supply Chain Blog

We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. Consider the diversity prediction theorem.

Import 90
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The Intelligent IBP Manifesto – key principles for a new planning paradigm

Supply Chain Trend

We’ve entered an AI era where 76% of work can be augmented or automated. In this manifesto I will introduce Intelligent IBP principles. This definition should become clear once you go through the principles. These principles are a first guide around the WHAT not necessarily the HOW of Intelligent IBP.