using AI

AI is all around us: how far can it go? 

Wednesday 31st Jan 2024 |

There’s a lot to be said for how useful machines can be – at least when it comes to manual and repetitive tasks. As we stand at the brink of the Fourth Industrial Revolution, now is the time to start thinking about where humans should make the most of AI’s abilities and where to retain more control.

Scalability is a Huge Consideration 

Unlike human experts, machine effectiveness does not suffer in quality when operations are scaled. The entertainment sector is a prime example of how scalability can be achieved through machine learning. AI has facilitated the creation of random number generators, which are used for a range of purposes. Play Betfair bingo games and you’ll find its random outcomes – the very basis of the game – are dependent upon RNGs. Further, each bingo website is able to host thousands of players at any given time, a level of scalability that would simply not be possible with a human workforce.  

AI is Fast, Efficient and Accurate  

AI is faster than the human workforce. Natural language models can read and summarise documents in a matter of seconds, something which would take a human reader hours. AI’s reading comprehension also exceeds that of human ability, and when you add on generating insightful summaries, this adds even more time. 

One point to make is that with all this promised productivity can come with a steep price tag. AI is some of the most expensive software out there, but things are changing. Through application programming and AI advancements, there are now many price-level entry points for those willing to embrace the tech revolution. AI tools can be implemented with marginal cost and minimal setup. As a result of this, in some ways, AI is certainly cheaper than running a human workforce, but that doesn’t always mean that it’s possible to embrace it in such a way. 

The Power of Humanity 

AI is only capable of working with the data that is inputted. AI algorithms usually cannot work with unforeseen consequences, and as a result of this, machines are useless in some situations. The idea that AI tools will adapt to any situation is one of the many myths that currently surround artificial intelligence. Humans, although slower, and more mistake-prone than AI, can create, analyse, manoeuvre and gather data that AI cannot. AI cannot innovate, because its intelligence and output are based only on data already available to it. Creativity helps to bring something new to the table, and AI thrives on repetition. With creative thinking being the bedrock for transformation, humans are needed to push things forward. Humans are the ones that blaze the trail for AI, not the other way around.  

For this reason, although AI may be cheaper than having a human workforce, humans are still very much integral in the general function of AI. Balancing both is key, to ensuring that the wheels keep turning in this ever-changing digital world. 

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