Use Cases

Information about use cases

What is Artificial Intelligence (AI) anyway? We speak of AI when a system is capable, just as humans can, of making decisions independently based on observations (data) and learning from data. The latter in particular characterizes AI.

Thus, a static pre-programmed decision algorithm is not yet AI. Although AI is far from approaching human intelligence, there are already a number of successful applications. These applications focus on one specific task and can often surpass human capabilities in it.

The more relevant data is available, the better the predictive value becomes. Here we distinguish between AI based on rules and AI based on examples. Then these algorithms go to work with huge amounts of data to learn.

How do we deploy AI?

AI is most commonly used to recognize patterns, make predictions and provide insights that were previously inaccessible to humans due to a vast amount and complexity of data. This has become possible because algorithms, unlike traditional computer programs, can learn from examples and do not need to be explicitly programmed for each case to arrive at an outcome.

The most common tasks AI performs are inferring information from images (computer vision), extracting insights and patterns from written or spoken text, reading aloud, moving autonomously through spaces (robotics) and searching for patterns from a large amount of data (machine learning). These AI systems support people in their tasks and assessments.

We are working hard on the following use cases

  • Predictive Maintenance Off-shore Energy Maintenance
  • Remote AI for the Food Industry
  • Hybrid Maritime AI
We will describe here in the near future practical examples where AI has been deployed. This will be in line with activities in the various application areas. The overview will be regularly updated with examples to learn and inspire.
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