In our lastest Nordea On Your Mind report, we share insights from André Rogaczewski, co-founder and CEO of the listed Danish IT solutions group Netcompany A/S. André describes the company’s view on AI, their customers’ experiences with it, and how the market is developing. He gives examples of what Netcompany has done in the field, and shares some valuable insights regarding AI and the importance of having a data management strategy.
How good is corporates’ and big organisations’ knowledge about AI today, would you say? Has it changed in recent years? Are you seeing growing interest among customers, and if so, why?
They have gone from having absolutely no knowledge about it, to at least some knowledge. But practical skills in AI are still a scarce resource. You could say AI is at the top of the hype cycle, but real knowledge about how to use it and what to use it for, practically, is still lacking to some extent.
Today, most companies are at a level of maturity where they have either heard about AI and think that one day they will want to use it, or they think, “we are going to buy a software product and try something out”, and they will probably never succeed with AI. This is because you have to start by looking at the data. Data management is very much the key. If you don’t know anything about your data, you will never succeed with AI. You need to figure out your data structure, how to access it and process it, and only then can you start utilising AI for business purposes.
There are currently some software solutions out there: some AI networks you can log into and some vendors providing AI systems. But if you think it is just a question of buying some software, you are on the wrong track, because it will not get you anywhere. You need to think about its exact applications and then, when you find and structure the data, you can try to see if it will work for you or not.
Interested in the full interview with André – among others, he gives examples of successful applications of AI and advice on how to overcome hesitation or unwillingness to consider AI in businesses or operations.
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