Here are five tips to get started with AI in your business

Blog post by Pernille Kræmmergaard, September 2023
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Artificial intelligence is now hitting us in earnest.

Over the past few months, as the use of AI-based assistants like Chat GPT has increased, we've been discussing the opportunities and challenges of increased use of AI. Discussions that, on the one hand, have been about the possibility of AI taking over and making us humans obsolete, and on the other hand, about all the amazing knowledge we'll have access to and the possibility of creative production of everything from party songs to exam papers.

Technology is turning many of the things we know and the way we have organized ourselves upside down. As we implement and use technology more and more, it is therefore highly relevant to discuss and debate.

Especially considering that we have only seen the beginning, because there is no doubt in my mind that we need to embrace technology even more and start using it.

I don't see how we as a society, public sector or private company can meet the demands and expectations of citizens and customers for products and services in the future without increased use of data and artificial intelligence. Just as AI will be necessary for employees to perform their jobs satisfactorily and efficiently in the future.

Not to mention how we will be able to address the shortage of labor and "warm" hands without greater use of technology.

The many possibilities of AI

We can't afford to wait if we want to ensure future welfare for all, cohesion in our society and competitive businesses. I'm sure many will agree with me on this, and they are probably already in full swing, while others may be unsure of what artificial intelligence could be used for. Still others may be unsure of how to get started and what they need to be aware of. Let me start with the first and come back to the last.

Overall, these technologies provide the ability to analyze large amounts of data and identify emerging patterns and correlations, make predictions and suggest preventative actions. For example, they can be used to develop personalized and relevant offers and services for customers. And it can also be done proactively - before the customer has asked for it. Exactly as we know it from Netflix and Spotify, for example. And they can be used to better understand customer preferences and thus enable targeted and efficient product development.

They can act as virtual assistants to handle routine tasks, and they can act as decision support to help managers make more informed decisions. In other cases, they can automate decision-making, such as in recruitment. Here they can screen resumes and applications, in inventory management they can predict demand, and in maintenance they can predict maintenance needs.

They can be used to identify anomalies in network activity that may indicate

Five tips

The application of artificial intelligence is by no means just about technology, but also about organizations, people and professions. The application of AI technology will have a major impact on how we organize our businesses and the professional content of many jobs.

The question is how to get started and what considerations to make. Here are my 5 pieces of advice:

  1. Understand the gap between where your company is today in terms of digital transformation and the use of data and technology. How mature are you and where do you want to be in the future. This will give you a starting point and a shared understanding of your future ambitions.
  2. Start small and start with simple projects that provide quick wins and build from there. This will help you understand how AI works and what it can do for your business
  3. Consult with experts in the field - you may not be able to figure out with the knowledge you have now where an investment will have the greatest impact and financial gain. Experts can provide valuable insights and help you avoid pitfalls.
  4. Ensure organizational change and develop skills within the company among managers and employees. Applying AI requires new job functions, new skills and new collaborative relationships to realize its full value.
  5. Be aware of ethical and legal aspects. You need to be aware of data protection and privacy regulations and ensure that your use of data is ethical. A key challenge is ensuring data quality, ethics, transparency and compliance
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