#AI data quality

Meta’s $10 billion investment in Scale AI underscores the growing importance of data quality over model sophistication in the AI race, positioning Meta for long-term leadership through data infrastructure control.

Most AI projects fail due to poor planning, overambitious goals, and lack of user adoption. Strategic planning and change management can turn AI investments into success stories.

Most organizations struggle to scale Generative AI projects due to weak data governance. Strong data foundations and accountability are key to unlocking GenAI's true potential.