Salvatore Salamone

In the news this week: integrated IoT bundles that combine connectivity services and application management, a new network service to scale edge deployments, and more.

For businesses that routinely use real-time applications, cloud-native architectures significantly simplify application design, coding, and customization.

Combining intelligent streaming analytics with real-time digital twins for aggregate analysis offers several benefits in a variety of real-world applications.

Given the track record of the national labs in developing HPC technology that was quickly commercialized, it is a safe bet that businesses will reap the benefits of the DOE’s work in AI.

In the news this week: The Catholic Church weighs in on AI, a distributed SQL database adds features to improve performance and scaling, and more.

Scientists around the world are turning to sophisticated analytics to predict the spread of the coronavirus and other contagious diseases.

When implementing RPA, the biggest challenges involve development and infrastructural issues.

In the news this week: new edge servers and an ingestion and analysis platform for streaming edge data, an updated platform for automating the deployment and upkeep of machine language models, and more.

Building continuous intelligence applications on cloud-native architectures using containers and Kubernetes makes it easier to deploy, maintain, and update those applications to meet changing business requirements.

Incorporating machine learning capabilities into BI solutions will bring sophisticated analytics to more people, groups, and business units.

In the news this week: a fast in-memory real-time analytics processing platform is now available as a managed service on Google cloud, an orchestrator that optimizes the use of compute resources for AI, and more.

AI hardware accelerators have massively parallel architectures that economically deliver the needed compute performance for Continuous Intelligence applications.