Before Leveraging AI Tools, Data Ecosystems Must Be AI-Ready

Retailers are eager to leverage artificial intelligence (AI) tools to take advantage of unstructured datasets. Unlocking the untapped potential of both structured and unstructured data through AI will help retailers build more meaningful relationships with consumers, boosting brand loyalty and creating more upsell opportunities while optimizing the shopping experience and driving greater product innovation. However, AI integrations can be complex, meaning retailers can’t plug new solutions into their data ecosystems without preparation.

The Data Estate

For a retailer’s data ecosystem to become “AI-ready,” it must first gather and organize its data into a central repository or a data estate, where critical customer data is secure and readily available for those who need it to make data-driven decisions. A comprehensive view of the data estate also helps retailers maximize their data to improve cost efficiency and competitiveness. Regrettably, many retailers don’t have a deep understanding of their data estate and data assets, making a complete view of the consumer unattainable.

Retail companies can better understand their data estate by working with a technology-enablement partner with solutions like a unified generative AI orchestration platform. As a secure, scalable and customizable AI workbench, this platform empowers retail brands to comprehend their data estate. Likewise, it enables retailers to streamline and enhance experimentation and development across large language models (LLMs), AI-driven business solutions, custom add-ons and, most relevantly, data stores.

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