‘Businesses remain trapped in outdated marketing structures, hindered by data silos and fragmented teams.’
In the era of artificial intelligence (AI), data has emerged as the most valuable currency for marketers. Machine learning (ML) and generative AI (GenAI) have the potential to revolutionise marketing practices, but their effectiveness depends on the quality and accessibility of data. The more comprehensive and accurate the data, the better AI systems can provide insights, recommendations, and informed decision-making.
However, a significant challenge arises from the fragmented nature of data across numerous marketing mana
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