Council Post: Enabling Enterprise Transformation With Generative AI

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For the rapidly evolving technology to live up to its promise of transforming the way we work by leveraging enterprise data, three key questions must be considered.

Generative AI is best utilized to illuminate enterprise data and provide a clear understanding and interpretation of this data for decision-makers, both human and algorithmic. Enterprise systems of record, like supply chain management, enterprise resource planning and contract life cycle management systems, hold enormous amounts of reliable data that contains the rules of doing business and the intent—the underlying purpose or objective—behind how these rules should be applied in practice.

The power of understanding business intent and acting on it can be a formidable tool in an enterprise's digital transformation journey. One of the most complex but ubiquitous sources of enterprise data is contracts, in which the rules of business are captured in language that's often difficult to understand.

For example, consider this application of generative AI in supplier performance. Suppose an enterprise is preparing for the EU’s Corporate Sustainability Reporting Directives to come into effect and wants to better understand the extent of its downstream impact on the environment through its supply chain.

 

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