Summary
Research from MIT Sloan highlights that many companies struggle to benefit from AI because of poor data management. A report shows that inefficient knowledge handling can significantly impact company earnings. Experts suggest that treating knowledge as a valuable asset could improve productivity and customer satisfaction.
Key Facts
- MIT Sloan researchers found that companies often fail with AI because their data is disorganized or outdated.
- Poor knowledge management can cost large companies billions in revenue.
- A report from Bloomfire found that inefficient information access could impact 25% of annual revenue for Fortune 500 companies.
- Many organizations face a "last mile problem," where employees can't access needed information quickly, hindering decision-making.
- Effective knowledge-management programs can boost revenue, productivity, and customer satisfaction.
- Companies can save money and improve efficiency when they fix information flow and access issues.
- Bloomfire's research indicates that good knowledge management can save millions by improving productivity and reducing costs.
