How Private Market Firms Can Get in Shape for AI
Ebook
The efficacy of GenAI tools hinges on high-quality, clean data, as errors or inconsistencies can lead to misleading and potentially harmful outputs. Utilizing a modernized data platform that focuses on the six key dimensions of data quality — accuracy, completeness, consistency, timeliness, validity, and uniqueness — can enhance data governance and ensure data integrity before deployment in AI models.
Our ebook discusses five curated data products that could help private market firms improve their data management strategy:
- Performance track record
- Investment performance
- Investor inquiry
- Cash management
- NAV oversight
Once the data has gone through the cleansing and normalization process, private market firms can build a rich repository of curated data products adapted for training the latest AI models.
