Why data quality is key to reliable AI performance

Data quality is the top obstacle for 42% of data leaders running generative AI projects. This means if you want to succeed with AI investments, you likely need to improve data quality across your organization. But how exactly can you get started?

“How to Build Trust in AI: The Data Leaders’ Playbook” provides you with strategies to develop trusted data, which will help you succeed with your AI initiatives and improve operational efficiency. The playbook focuses on four key steps:

1. Getting started prioritizing data quality
2. Enhancing data observability
3. Ensuring data privacy
4. Emphasizing efficient data management

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Date: 1.8.2018

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