Learn which AI skills for tech teams should be prioritized right away to improve your tech business in the latest article covered by AiTech.

As artificial intelligence becomes more advanced and accessible, it is becoming increasingly important for organizations to integrate the technology into their business strategies and operations. It’s no longer a question of if, but when organizations will build AI capabilities, which largely comes down to their ability to develop AI skills and talent.

While research shows that AI is a top-three area of investment for organizations, it is also among the top 10 most difficult skills to hire for, according to IT decision-makers. Rather than search for AI talent in an ultra competitive hiring pool, there is a bigger opportunity for organizations to look to their existing workforce and focus on upskilling. This approach is not only more efficient, but necessary given the rapid pace of tech innovation. Technical skills already have a short shelf-life of about two-and-a-half years, which is something AI has the potential to accelerate. As AI stands to transform nearly all technology domains and functions, it is more important than ever to ensure your team’s skills are evolving in tandem.

In the age of AI, upskilling is a critical component of business success, though it can be overwhelming if tech leaders aren’t sure where to start or what to focus on. Here is a comprehensive guide to the most important, in-demand AI skills to prioritize on your technology team. 

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