The success of AI platform investments varies widely, with only 28% of organizations achieving significant business value from their AI projects. Many organizations overlook crucial data considerations until their AI program fails to deliver results. To be successful, organizations should focus on blending essential ingredients for a valuable AI/ML initiative rather than just creating an "AI strategy."
Key touchpoints for a successful AI initiative include:
- Motivation: Clearly define why you want an AI platform and ensure it aligns with organizational goals.
- Goals: Set clear and aligned objectives for the AI/ML implementation to avoid failure.
- Technology: Ensure internal systems can integrate with the new AI platform to prevent compatibility issues.
- People: Have the necessary human resources to curate and analyze data for optimal AI performance.
- Data: Recognize the importance of high-quality, structured and unstructured data as the fuel for AI models.
Unstructured data is identified as a crucial element for AI success; and using only structured data reduces the odds of success. The DataInFormation℠ suite of services by Liberty Source helps organizations identify and structure relevant unstructured data for AI goals, ensuring accurate outcomes.
