Data Management

Data Management

Data management
 
Data management
 
Using a digital twin increases development velocity while breaking down silos.

More and more organizations in both the public and private sectors are adopting DevOps approaches to business culture, technology development, implementation and testing practices. However, some remain hesitant, slow to accept the risk and uncertainty that a new approach can bring. One concept that leaders in DevOps have adopted that underpins the success of… Read more

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Innovative approaches to DevSecOps include mimicking the real development space to anticipate problems.
Recent Articles

Easing data sharing across health care holds potential for all stakeholders, from day-to-day care to public health crises.

Krista Kinnard discusses the group's guidance on AI and RPA while dispelling myths about the technology.

The agency is considering human-centered design in its solutions that cut down manual labor and time.

Data management and skilling the workforce are part of a multi-pronged approach to AI.

The agency is following DIB's recommendations for the technology.

The agency is thinking through how to modernize while sustaining core functions managed under legacy systems.

Cloud innovators are enabling companies and federal agencies to fully leverage artificial intelligence and complex analytics in…

A multi-cloud environment can help government achieve greater efficiencies in data management practices.

Automation processes first need a solid foundation for the management of data.