Remove Data Silos Remove Data Warehouse Remove Deep Learning
article thumbnail

Unlocking financial benefits through data monetization

IBM Journey to AI blog

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 data silos that impede a unified customer experience. High degree of regulatory control. Need to protect sensitive information.

article thumbnail

Most Common Use Cases of Data Engineering in Healthcare

phData

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 deep learning and machine learning in healthcare is also increasing. Real-time data analysis could also detect irregular heartbeats that could save lives.

article thumbnail

Advance environmental sustainability in clinical trials using AWS

AWS Machine Learning Blog

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 data warehouse that trial scientists can use to perform analytics.

AWS 107