The ability to make quick progress is significantly impeded if researchers must first define, inspect, and otherwise “fix” data before it can be used.
Critical capabilities are required to fully understand the data lineage of data sets having varying degrees of quality.
If trustworthy, reliable, standardized, and certified data is not provided, AI models will simply magnify the impact of poor quality data.
Develop and produce therapies faster with AI-driven data management
Driving digital transformation in life sciences
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