Beyond technology: Collaborative AI Governance and improved assessments

As AI rapidly reshapes industries, many teams are laser-focused on ML, Models and technology, believing these elements will drive transformative results. However, a recently released report from BCG’s reveals a different story: BCG’s 10-20-70 model emphasizes that while data science capabilities (10%) and a scalable tech stack (20%) are essential foundations, they are not enough to create lasting impact. Instead, effective processes supported by talent, change management and governance (70%) are what truly drive sustainable, scalable AI success. 

This finding underscores the importance of creating robust frameworks for AI and data governance and implementing guardrails to ensure AI is not only innovative but also safe, ethical and aligned with business goals. From assessing AI risks to ensuring compliance, Collibra’s Q4 AI Governance innovations contribute their part to the whole. In this blog, let’s dive into these newly released innovations and discover how they ensure AI teams can safely scale their AI use cases with confidence.

Read more here.