Summary With the explosion of data across the enterprise and in the business world, data integration projects will continue to play an increasingly important role. Combining best practices with ...

Thus, mastering data integration best practices is essential for delivering quality care, enhancing operational efficiency and complying with regulatory requirements.

Click through for 10 data integration best practices from TDWI and SAS. Data integration is a family of techniques, most commonly including ETL (extract, transform, and load), data federation, ...

Digital-first continues to accelerate, along with the creation of customer data. As such, it’s essential for companies to implement these data best practices.

This article outlines my best practices for AI model integration. It focuses on data management—identifying AI opportunities and operationalizing AI—especially for those new to the technology.

When you implement data-integration pipelines, you should consider early in the design phase several best practices to ensure that the data processing is robust and maintainable.

Over 95% of hospitals have a certified EHR technology in place today, yet EHR integration still remains a sticking point, resulting in reduced efficiencies, higher costs, and negative outcomes. As ...

Steer Clear of LLM Integration Missteps Potential obstacles to a successful LLMs/KMS integration include an overreliance on the technology, ignoring data privacy concerns and neglecting user training.

Best practices: Meta data integration By Johanna Ambrosio February 1, 2004 It is not all about technology, of course; how you manage your meta data is even more important than what you use to collect ...

There are a few best practices when it comes to integrating set-top box (STB) and Smart TV data, according to a new study from the Coalition for Innovative Media Measurement (CIMM).