The Importance of Data Quality in Generative AI
Authored by EncompaaS - May 31, 2024
The velocity of structured, unstructured and semi-structured data is increasing at an exponential rate.
Data plays a crucial role in generative AI, being a fundamental component for its success. But poor data quality can lead to biased or discriminatory AI systems, perpetuating biases present in the data.
Download our infographic to learn why data quality is the linchpin of successful AI implementation.
What you’ll learn
- Generative AI’s impact on information management and surveyed professionals’ responses.
- Challenges and priorities for dealing with unstructured data in preparation of generative AI.
- How to ensure data quality for generative AI success.
Get AI Ready with Beautifully Prepared Data
AI success starts with data readiness. With unstructured data posing the biggest challenge, EncompaaS automates your data preparation to ensure your enterprise is Gen-AI ready.
Get AI Ready with Beautifully Prepared Data
AI success starts with data readiness. With unstructured data posing the biggest challenge, EncompaaS automates your data preparation to ensure your enterprise is Gen-AI ready.
Featured Resources
- brochure
- video
