SXSW 2020
Data Quality in Digital Transformation
Description:
80% of digital projects are being hampered by data quality. Deployed AI and ML are highly dependent on the quality of data that is fed to them. Having a validation pipeline can reduce costs and increase insight while making digital transformation faster.
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Takeaways
- How to implement a data validation pipeline that includes machine learning
- Problems companies are facing in digital transformation due to data quality
- Most common problems of data quality.
Speakers
- Gustavo Sanchez, Co-Founder, Pandata Tech
Organizer
Maryann Alspaugh, Programs Manager, Capital Factory
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