Why health is not the leading sector in the adoption of artificial intelligence?

Why health is not the leading sector in the adoption of artificial intelligence?

Nobody knows why, but studies that exist confirm that other sectors dominate the adoption of artificial intelligence. Like the recent one made by Microsoft and EY, which explains how Technology, Services and Banking are the most advanced.

Still today, with all the solutions that exist to help, solve, improve, increase, ... put the reader the verbs you want, the health sector is far from the most advanced in the adoption of artificial intelligence (AI ), despite all the benefits it generates. And it does not say who writes these lines, many reports and studies say, although no one points out why health is not the first of them. I bring here a study that, although it does not answer exactly this question, what it does is corroborate that the technology, services and banking companies are the ones that are most taking advantage of the potential of the AI. And he also cites that there is a long way to go in health sciences.

And this is what Microsoft and the consultancy EY say, that took advantage of a few days ago an event with companies to drop some pills of the report. But before going on to list these details, I would also like to recall the words of the president of Microsoft Spain, which logically sweeps home for Spanish companies to look to their multinational and hire their developments and capabilities in artificial intelligence. Even so, he is right when Pilar López relates that "Spanish companies are twelve points below the European average in the effective deployment of AI-based solutions. It is necessary, therefore, to accelerate this process and move on to the phase of real utilization of the full potential of these technologies. The use of artificial intelligence to be more competitive, more agile and reach the market more quickly will be essential in the coming years to ensure growth and companies are aware of this. "

And returning to the study of Microsoft, prepared by EY and that analyzes the level of adoption of artificial intelligence in 15 countries in Europe, it clearly indicates that the companies that currently lead the way in terms of maturity in the implementation belong to the sectors of technology and telecommunications, services and banking and finance, where you can see a greater number of projects deployed or that begin to take advantage of the AI ​​in an active way through the optimization of processes. This leadership position is directly related to the tendency of these sectors to be more advanced digitally and to have more experience in the use of data management, which favors the progression of projects beyond the pilot phase.

32% of European companies, says the same study, already have AI solutions in operation, and even in more traditional sectors such as infrastructures. 74% of the companies have started their journey to take advantage of the AI ​​through pilot projects or basic solutions that have already been deployed, showing a continuous evolution towards a more advanced state. On the other hand, in the retail sector the distribution is very unequal, generating positions of clear advantage for the future. "A 25% of the organizations", in this retail sector, "affirms that they have no plans at present about how and when to use the AI, much higher than other sectors".

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Regardless of the data, and the fact that health is a sector that is at the forefront of the implementation of artificial intelligence, in the study it is clear that "in the health sciences the use of internal data and external will accelerate the process of drug discovery, the prediction of diseases, the improvement of diagnostic techniques and an accelerated transition to precision medicine, "as textually states.

And an example of this, and we hope to tell and detail more in future articles, is what is being done at the Hospital de la Paz, which is using advanced technologies in artificial intelligence for the improvement and optimization of genetic analysis applied to the diagnosis of diseases. weird

Published on: 4/6/19, 4:40 AM