GenAI is changing the way operations teams should think about data quality

You’ve heard the phrase before—garbage in, garbage out. It’s even more true when you’re talking about generative artificial intelligence (genAI). Poor data quality management is a common reason teams are struggling to adopt genAI. 

GenAI requires a totally new set of data management skills from operations teams. This Forrester report dives into how to shift your mindset around these roadblocks and recommends how you can address data quality management issues to set your business up for success when using genAI. 

Read the report for insights and takeaways on: 

• The role of data quality in genAI adoption
• Changing data management requirements
• How to overcome data quality limitations
• Principles to set your team up for success