Artificial intelligence (AI) can revolutionize the biopharmaceutical industry, helping to accelerate novel therapies by decreasing time-to-market, cost, and risk. However, AI needs to be trained using data, and insufficient data quality and accessibility represents the main barrier to realizing the benefits of AI. Raw data cannot power AI models at scale to drive scientific outcomes. Instead, the data must be transformed into a form that AI can readily consume and analyze for deep insights.
Download this application note from TetraScience to discover how to optimize data for AI and how to use AI services to scale production while controlling costs.