AI in the information-rich enterprise by Moor Insights & Strategy

This brief from Moor Insights and Strategy, sponsored by Iron Mountain, discusses the evolution of AI and how new AI use cases rely on structured and unstructured data originating from both digital and physical assets. It also explores how adopting a universal information and data strategy that begins with managing physical and digital assets helps the enterprise drive meaningful outcomes.

Situation analysis

Artificial Intelligence is the hottest topic of discussion for virtually every organisation performing long-term strategic planning. Further, it's a topic that spans the organisation from operating units to marketing to IT. While “discriminative” AI, such as image recognition, has been delivering real value to organisations for several years, the excitement about generative AI’s potential to drive productivity is finding increasing interest across organisations of all types and sizes.

Unfortunately, many new AI projects fail, especially when they are not aligned to a specific business purpose. In fact, some reports show that new AI projects fail at shocking rates—83% to 92%. While Moor Insights & Strategy (MI&S) believes these numbers are likely too high, the firm does recognise a significant failure rate for AI projects. Sometimes the failures are technical, and sometimes they stem from a lack of skill among an organisation’s personnel. Many failures, however, come from insufficient or inaccurate data.

Data is the foundation of AI, especially the data that is derived from raw information embodied in physical and digital assets across the organisation. While many organisations take a “more is better” approach to the information that feeds AI, data quantity does not help without being matched to data quality.

This brief, sponsored by Iron Mountain, discusses the evolution of AI and how new AI use cases rely on structured and unstructured data originating from both digital and physical assets. It also explores how adopting a universal information and data strategy that begins with managing physical and digital assets helps the enterprise drive meaningful outcomes.

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