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Five Best Practices to Capture AI Value

Artificial intelligence has the potential to create substantial business value for organizations, but AI teams often find it challenging to realize and communicate these benefits. Gartner research has found that difficulty measuring AI value and a lack of understanding around AI benefits and uses are top barriers to its implementation. AI technologies are unique in that they can learn and adapt in complex ways, but this can make it hard to predict the performance of AI models. Additionally, AI benefits require business actions, as well as process and behavioral changes, that go beyond the direct control of AI teams. To derive tangible business benefits from AI, organizations need to actively manage and monitor them before, during, and after AI model deployment.

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Unleashing The Power Of Generative AI For Cloud ERP

In this article from SAP BrandVoice, Julia White discusses the potential of Generative AI for cloud ERP systems. She explains how AI can be used to power ERP systems and how it can autonomously optimize based on real-time data. White also emphasizes the importance of relevance, reliability, and responsibility when it comes to Business AI.

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Create AI Easily with No-Code AI Platform

In a rapidly changing world, AI is reshaping industries and businesses are feeling the pressure to keep up. The “No-Code AI Template” has arrived to bridge the gap between AI experts and domain experts. LetSur AI Management Platform (LAMP) is an example of a No-Code AI Platform that empowers businesses to easily create AI solutions using a range of AI templates. With LAMP, businesses can customize AI solutions to their precise requirements. LetSur offers expert support to help businesses navigate the AI journey and experience No-code AI templates for free.

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