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Why You Need To Break Data Silos To Build Powerful AI Systems
While new innovation such as cloud, open-source tools, containerisation and automation has helped fuel innovation, it hasn’t impacted business outcomes to a large extent. In fact, the bulk of the analytics solutions and traditional big data platforms have been inconsistent with producing their fundamental promise of scalable AI models.
According to analysts, artificial intelligence deeply depends on the quality of data, and if the data exists in silos, it would be detrimental to the future of artificial intelligence across business organisations. But why do data silos exist?
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