Artificial intelligence Trends

Artificial Intelligence Trends. A car is driving along a road, suddenly the engine fails and the car runs off the road. The driver must then decide whether to run over a child or an elderly person to avoid further damage. A human decides this in a matter of seconds, almost unconsciously, but when it comes to autonomous vehicles, the machine’s reaction will depend on the morale of the person who programmed it.

This technology has great potential for companies, but they must not forget these questions to ensure that the advances contribute to the model of society they want. This is why hybrid profiles, which go beyond technical knowledge, are the most in-demand in this field. Artificial intelligence is based on data and processes, but you also have to know the context, both the relationship between them and the meaning and implication. By blurring the usual profile for this type of technology, access to it is democratized and, therefore, new potential uses emerge. When there are more people involved in something, it is easier to see different potentials. This is the only way we can get the most out of these innovations. These are the trends identified for the coming months:

Automation: The replacement of workers by machines is a reality in most industries, but “some are taking advantage of this transformation to make the technique also intelligent. The combination of robotic automation of processes with artificial intelligence leads to increasingly efficient procedures.

Intelligent automation: A step beyond the previous point. Companies are using AI to identify which processes can be automated, as well as to recognize inconsistencies in the data being used that may be imperceptible to the human eye.

Cybersecurity: Threats are growing along the same lines as the technology is. Ultimately, AI is data analysis that can point us to where we have small gaps that can be used by cybercriminals.

Internet of Things: This is another technology that will increasingly appear alongside artificial intelligence. In the coming years, there will be even more connected objects, which will increase the amount of data available, the food that artificial intelligence needs to function.

Hobbyists: Access to these technologies is democratizing, which will make it easier for more innovation to emerge around them. Hundreds of people thinking have more ideas than just one.

Computer vision: Not only is there a greater quantity and quality of data available, but also of images. A factor that will lead to the emergence of new AI functionalities applied to facial recognition.

Chatbots: The pandemic has multiplied the use of this tool by companies. These robots require a learning process to have a more natural communication with humans, so greater use will also have an impact on their quality.

Workforce: A further step in automation. AI will lead to a hybrid workforce, where robots will do some of the human work. One example is Amelia, a virtual assistant that can be hired to manage schedules.

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