Remove AI Remove AI Strategy Remove Data Quality
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Narrowing the confidence gap for wider AI adoption

AI News

Business leaders still talk the talk about embracing AI, because they want the benefits McKinsey estimates that GenAI could save companies up to $2.6 In this article, we’ll examine the barriers to AI adoption, and share some measures that business leaders can take to overcome them. But now the pace is faltering.

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Why data quality is critical for marketing in the age of GenAI

AI News

Marketers envisioning a seamless, magical customer experience must recognise that AI’s effectiveness depends on high-quality underlying data. Without that, the AI falls flat, leaving marketers grappling with a less-than-magical reality. In other words, when it comes to AI for marketing, better data = better results.

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Basil Faruqui, BMC Software: How to nail your data and AI strategy

AI News

BMC Software’s director of solutions marketing, Basil Faruqui, discusses the importance of DataOps, data orchestration, and the role of AI in optimising complex workflow automation for business success. Second, is data quality and accessibility, the quality of the data is critical.

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How to build a successful AI strategy

IBM Journey to AI blog

Artificial intelligence (AI) is a transformative force. By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

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How Emerging Generative AI Models Like DeepSeek Are Shaping the Global Business Landscape

Unite.AI

Even in a rapidly evolving sector such as Artificial Intelligence (AI), the emergence of DeepSeek has sent shock waves, compelling business leaders to reassess their AI strategies. However, achieving meaningful impact requires a structured approach to AI adoption, with a clear focus on high-value use cases.

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AI Bias & Cultural Stereotypes: Effects, Limitations, & Mitigation

Unite.AI

Artificial Intelligence (AI), particularly Generative AI , continues to exceed expectations with its ability to understand and mimic human cognition and intelligence. However, in many cases, the outcomes or predictions of AI systems can reflect various types of AI bias, such as cultural and racial. What is AI Bias?

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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

The product cloud, on the other hand, is a composable suite of technologies that supports the entire product record for both dynamic and static data across the entire product lifecycle; our flexible, scalable PIM solution is a crucial aspect of the product cloud, however its only one part.