Why is AI technology expected to shape the tech world even more in the next few years?

We do not know exactly when – and perhaps two years is too little – but what is undoubtedly true is that our world has taken us in a very precise direction of development, following the development of information technology and telecommunications, and that this is changing it radically. especially when it comes to automation.

While automation was once about machines, today it is about decision-making processes. And from the verb to compute, we get to the verb to process. Something that paves the way for what we call “artificial intelligence”. Without reaching the perhaps over-optimistic predictions of Oxford University scientists who envision machines producing school texts better than humans by 2026 and novels by 2054, we realize that AI is already all around us today, but it will be even stronger in the future.

How AI is structured

Machines are much better at analyzing large amounts of data and possible future combinations than we are, and therefore much better at connecting them. This explains why the current game engines used in a game like chess are practically impossible for any human player: currently the gap to the current best chess player, Magnus Carlsen, is estimated to be around 200-250 Elo in favor of the computer.

Playing a game of chance, such as online blackjack or poker, where the rules are clearly defined and everything depends on drawing a card of a certain value, obviously gives the human player much more options.

But let’s look at three specific areas, beyond gaming applications, where AI is radically transforming the entire industry.

1 – AI in Healthcare

The use of AI systems is well suited to healthcare: the current method used in medicine depends heavily on data analysis – and as we have seen, this is an area where data processing systems excel. The ability to apply predictive analytics systems to clinical cases makes it possible to get a much clearer picture of the patient and thus be able to treat them appropriately. The data tells us that 86% of the time, the treatment given to a patient is not the ideal one to cure their disease. In addition, by studying environmental factors such as place of birth and residence, dietary habits and other factors, we can predict the possible future diseases that the patient may face and thus prevent them.

2 – AI in trading

Forecasts from various think tanks suggest that the mass adoption of AI in retail will significantly increase revenue – Accenture talks about 38% by 2025. This applies to both the processing of orders and their dispatch and delivery through automated means such as drones and self-driving vehicles : in practice, after choosing one or more products available in stock, it will be possible to receive them at home in a few minutes, without the need for traditional retail distribution with the supply chain of the goods.

3 – AI in the banking and services sector

According to some estimates, the impact of AI in the banking sector alone is expected to reach $300 billion by 2030. Due to the characteristics of AI systems, this technology will be used mainly in financial and investment analysis and customer service. CRM systems in vertical development give customer service much more potential for interaction and support. The acquisition and management of massive databases will be the norm of global transactions in the future.

This integration and automation of data can trigger scary scenarios, but we prefer to think about the long-term opportunities instead of the risks. Technology isn’t good or bad: it depends on how you use it – and that’s why we should push to design it to develop a safer, more open future world for everyone.

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