Rubbish in, rubbish out - data quality in the age of GenAI
- Data governance and ethical considerations when using GenAI in your organisation
- Leveraging AI to automate your data quality assurance
- Combining your automated processes and human expertise to ensure data quality
Featuring:
Kevin Craine, Host, AI Talk
Diana Kearns-Manolatos, Technology Transformation Research Leader, Deloitte
Pat McGrew, Managing Director, McGrewGroup
Deyana Petrova, Digital, Growth and Product Head, August Collection
As GenAI becomes increasingly integrated across sectors, the quality of data feeding these tools has emerged as a critical concern.
High-quality data is essential for training robust AI models, but the massive scale and diversity of data required poses significant challenges.
Join our next episode of AI Talk with Kevin Craine, who hosts a panel discussion where we’ll explore:
- Data governance and ethical considerations when using GenAI in your organisation
- Leveraging AI to automate your data quality assurance
- Combining your automated processes and human expertise to ensure data quality
Join this panel discussion for expert insights into getting the most from your GenAI strategy.
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