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Figure 2: The data product lifecycle The banking industry, for example, faces the following challenges: Competition from agile and innovative financial technology and challenger banks. Organizational datasilos that impede a unified customer experience. High degree of regulatory control. Need to protect sensitive information.
Capturing and maintaining data on a large population can help doctors chart the best course of action according to their previous diagnoses. The use of deeplearning and machine learning in healthcare is also increasing. Real-time data analysis could also detect irregular heartbeats that could save lives.
Instead, a core component of decentralized clinical trials is a secure, scalable data infrastructure with strong data analytics capabilities. Amazon Redshift is a fully managed cloud datawarehouse that trial scientists can use to perform analytics.
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