When trying to find valuable areas, where you can implement AI, work on a clear definition of what problem you want to solve. Otherwise, it is easy to get lost and seduced by very complex AI solutions.
Therefore, the recommendation reads; start small and quickly test the idea in the business. Then you can always improve to more complex solutions
Artificial Intelligence and Machine Learning are talk of the town. And there has long been talk of AI as a golden opportunity for businesses. But if you look at the hard facts, how far have we really come in the Danish business world? Among others, Microsoft has made a report showing just that. Here are some of the conclusions.
of all Danish companies are at the beginning stage in the use of AI
of all Danish companies are at an advanced stage in the use of AI
has a strategy for how AI can be used to create business value *
*Survey done by the research institute PAC
There is a big difference between artificial intelligence on film and in reality. Artificial intelligence is not just an element of a sci-fi movie. It is not the future. It is reality today. But what do we mean when we say AI? As such, there is no definitive definition of AI. Quite simply, you can say that AI is about making an artificial version of the human brain
We often use the concept of AI about machines that can make decisions independently – and on their own perform tasks that normally only a human brain can perform. This applies, for example, to tasks that require abstract thinking, reflection, analysis, learning, problem solving, pattern recognition, language comprehension and decision-making.
Strong and weak artificial intelligence
Today, we often distinguish between strong and weak artificial intelligence. Strong artificial intelligence is about the notion that computers can theoretically develop a consciousness similar to that of humans.
Weak Artificial Intelligence is about computers being able to simulate every aspect of human ability – and therefore they can effortlessly lead others to believe that it truly has human intelligence and awareness (though it lacks subjectivity that defines human understanding)..
In the past year, Aarstiderne has carried out a strategic customer loyalty project entitled “the best customer experience each time”. The objective was to give more structure to the customer loyalty work. What did it take to achieve this goal?
One of several initiatives was to gain insight into which customers are most likely to churn. Using a special Advanced Analytics model and Machine Learning, Aarstiderne can now identify customers at risk of churning.
”“The model now tells us with great precision which customers are at risk of churning as well as which customers are deemed loyal,” and he continues: “This will not save the world, of course, but the solution’s value potential is very important!”
– Carsten Dreyer Christensen, Head of Business Analysis
Artificial Intelligence (AI) is becoming smarter and smarter every day. The sophisticated algorithms have gone from using huge computers to recognize pictures of cats, to now being able to use your face as a password for your phone.
Do you also have a feeling that your data contains more potential than your company is currently harvesting? Being able to extract deep insights from data or automate manual tasks with a data application often relies on Machine Learning as part of the foundation.
This blog post takes you through three important focus areas regarding ethics and responsibility in AI solutions.
AI has enormous potential, and we see both willingness and visions of being more "data-driven" and leveraging data optimally. However, the good intentions to stay ahead with intelligent AI solutions are often met with the same challenge: How do you actually create value with AI? Read the blog post a...
What is Explainable AI?
In this blog post, we will take a closer look at what explainability means within AI, as well as the types of information that can be extracted from AI/ML models.
How to get AI out of the sandbox
Today, the door to AI is open for all businesses, but few are able to fully exploit the technology. In this blog post, you can read about the three primary reasons why AI often remains a toy in the sandbox - and our recipe for how you can get the full potential of AI across your organization.
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