Recipe for Building Digital Twins

The concept of the Digital Twin has gained currency with people who architect, build, and manage IoT applications. Digital Twins will not just define how IoT applications get built, however, but will become a key construct for mainstream enterprise applications.

Building AI Microservices for Cloud-Native Deployments

Premise Artificial intelligence (AI) is steadily infusing every component of cloud-native computing environments. Developers are incorporating AI – in the form of deep learning, machine learning, and kindred technologies – into cloud-native applications through tools that enable them to compose these features as data-driven microservices.  Going forward, composable cloud-native AI microservices will be as diverse […]

Agile Development in Team Data Science

Premise Agile is a methodology under which self-organizing, cross-functional teams sprint towards results in fast, iterative, incremental, and adaptive steps. Agile methodologies are taking root in data science, though there are issues that may impede the success of these efforts. One of the greatest risks with agile in data science is that it could compromise […]