Business Lounge

: Business Lounge; 06 January 2020; Hits: 375

Artificial Intelligence (AI) in Automation - Part 1

The basics of Cloud Computing

Christian Vilsbeck

A&D

Modern machines and production facilities supply vast amounts of data. The art lies in generating added value from this information. With artificial intelligence, correlations can be formed and processes can be optimized by self-learning. To do this, however, mechanical engineers and plant operators need a future-proof technological basis on which they can introduce their AI competence step-by-step and in a scalable manner. A powerful and open control platform is the basis for the implementation of artificial intelligence.

The basics of cloud-computing - Part 2

The basics of Cloud Computing

Arno Martin Fast, B.Eng.,

Product Manager Digital Services

Cloud-native vs. cloud-agnostic: What's the mystery behind the hype?

Speed seems to be the order of the day in digitization. Service providers and customers seem to compete with each other in this digital space. We see huge, successful solution providers switching from rigid monolithic structures to loosely coupled, service-oriented architectures. Cloud-based solutions along with API-based communications and container-centric applications seem to have helped with this transition. For some time now, cloud vendors, especially the best-known ones like Amazon, Microsoft Azure and Google Cloud, have been driving business processes worldwide. As the technology matures, the company's business processes are now asking which cloud platform is more efficient, what could be easily maintained, which option is potentially more advantageous in the long run. At this point, the question arises: cloud native or cloud agnostic? This is where companies decide whether to stick to one vendor or be present in all clouds.

The basics of cloud-computing - Part 1

The basics of Cloud Computing

Arno Martin Fast, B.Eng.,

Product Manager Digital Services

The trend towards the digitization of industrial applications involves risks as well as opportunities. For example, large computing capacities and considerable storage capacities are required. Cloud computing enables companies to process and evaluate these growing volumes of data in order to optimize the entire value chain on the basis of the results. But what service models are there and when does it make sense to deal with cloud computing? What does it mean to be "cloud agnostic" and what can multi-cloud do?