Artificial intelligence (AI) brings a wealth of opportunity to businesses, and it’s a technology that a lot of people are excited about. With that in mind, the digital skills gap could delay widespread adoption. With 60% of businesses believing that AI is the most promising technology on the market, followed closely by cloud computing, more has to be done to close the current skills gap.
AI is set to fuel a €600 billion growth for the European economy, and an annual increase of 1.5 percentage points in U.S. productivity. With that being said, SMEs are having a hard time adopting AI in full because they can’t find the right talent to utilise it.
AI is the Key to Providing Personalised Experiences
Artificial intelligence is the key to providing personalised experiences, which are in demand more than ever. Personalised experiences build brand loyalty, increase consumer satisfaction and help people to remember companies that they have worked with before. The entertainment sector is a prime example of how AI can be used to provide a personalised service, at scale.
Spotify recommends song suggestions based on listening habits and bingo sites list games that may be of interest, based on the time you’ve spent playing each title. This is great for new players who may be discovering their gaming preferences for the first time. A player can learn all about bingo at SkyCity, including 75-ball games and popular 90-ball variations, and then proceed to play several bingo titles with AI-operated random number generators. Casino sites can even utilise AI as a way to tailor marketing preferences, awarding bonuses to those who frequently play specific games, to further enhance personalisation.
From there, the AI will then make suggestions based on difficulty, theme and playing style, ensuring that each player gets a personalised recommendation, even if there is very limited data, for example, with new gamers. Even though it’s evident that the entertainment industry has embraced AI and everything it has to offer, and is making leaps in economic growth, it seems that other sectors aren’t able to adopt it to this extent.
Why Isn’t AI Being Adopted as Much as It Could Be?
One of the main reasons why AI isn’t being used as much as it could be is because of the skills gap. AI is being adopted at a rate that developers can’t keep up with. In short, AI-powered content is outpacing the people who are trained to develop it.
The solution here would be not to pump more money into AI, but instead, invest in the people who are trained to utilise it. By doing this, and by closing the skills gap in high-end AI jobs, such as software development and coding, AI can then be adopted across the board including by small and medium enterprises, who are the backbone of the worldwide economy. This could pave the way for an exciting future, where AI is adopted on a much bigger scale to enhance UX as well as productivity within the commercial sphere.
