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

AI News

Artificial intelligence entered the market with a splash, driving massive buzz and adoption. 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 The best way to overcome this hurdle is to go back to data basics.

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

AI News

Without that, the AI falls flat, leaving marketers grappling with a less-than-magical reality. AI-powered marketing fail Let’s take a closer look at what AI-powered marketing with poor data quality could look like. I’m excited to use the personal shopper AI to give me an experience that’s easy and customised to me.

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How to build a successful AI strategy

IBM Journey to AI blog

Artificial intelligence (AI) is a transformative force. The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. What is an AI strategy?

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

AI News

What we are seeing in the Data world in general is continued investment in data and analytics software. Analysts estimate that the spend on Data and Analytics software last year was in the $100 billion plus range. Second, is data quality and accessibility, the quality of the data is critical.

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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. A robust data strategy should assess data quality, infrastructure readiness and access to advanced technologies.

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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.

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

Unite.AI

Akeneo's Supplier Data Manager (SDM) is designed to streamline the collection, management, and enrichment of supplier-provided product information and assets by offering a user-friendly portal where suppliers can upload product data and media files, which are then automatically mapped to the retailer's and/or distributors data structure.