Best Practices for Getting Company Data Ecosystems AI-ready

Organizations invest considerable resources into collecting customer data to build digital footprints and profiles for enhancing the customer experience (CX). Previous technologies and toolsets limited businesses to simple, structured data, which included mainly transactional information as well as customer and call center conversations. Then, they would use a solution like sentiment analysis to determine if customers were satisfied with a product or service.

Today, with the emergence of artificial intelligence (AI) tools, companies can better utilize complex and unstructured datasets to deliver even more value to customers. For instance, large language models (LLMs) enable businesses to uncover and interpret the complexity and subtleties of human interactions and intentions at a high degree of sophistication. However, companies cannot simply plug AI into their data ecosystems and expect immediate results. They must make their data ecosystems AI-ready before they can reap such benefits.

Elucidating the Data Estate

Data is the currency of the future, and for businesses to become AI-ready, they must gather and organize their data into a central repository. Unfortunately, most organizations do not understand their existing data estate. These companies should leverage the expertise of a partner with methods and solutions that can provide a comprehensive view of their data portfolio. While this data exploration process is complex and multifaceted, a skilled partner can help companies maximize their data through AI solutions, improving cost-efficiency and competitiveness.

For example, a unified generative AI orchestration platform can empower enterprises to accelerate experimentation and innovation across LLMs, AI-native applications, custom add-ons and – most pertinently – data stores. Acting as a secure, scalable and customizable AI workbench, this platform enables companies to understand their data ecosystem more deeply, streamlining and enhancing AI-driven business solutions.

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