Yes, save the world, or at least alleviate some of its biggest problems, such as the aging population, or loneliness. This is what the Spanish company Bismart wants to do, which considers that the aforementioned evils could be solved or minimized with the help of artificial intelligence (AI). This was the leitmotif of an event that was held last June in Barcelona, organized by Bismart itself and by Microsoft.
“The aging of the population is a tsunami that carries us away, and loneliness, the epidemic of modern society,” says Bismart. Using Big Data and artificial intelligence to solve these problems is one of the solutions it raises, with systems that allow adding data on services, health, population, economic activity, use of basic supplies or waste management to facilitate this. the prediction of groups and territories that need help.
“We are planning badly. Social services are saturated and we are not allocating resources efficiently. In addition, over-aging makes the diseases more and more complex. The cuts, due to the economic crisis, mean fewer doctors, doctors are retiring and not being replaced. ”Says Albert Isern, CEO of Bismart.
This is one of the reasons why the Spanish company uses advanced data analysis systems that allow it to evolve from a palliative approach to a proactive approach, and distribute resources more efficiently , thus guaranteeing that they reach the people who most need them. need.
Thanks to predictive algorithms, it is possible to detect which territories and types of families need the resources, so that they are distributed according to urgency and priority. Thus, the administration can know to whom it has to provide aid without the affected person or family having to ask for it and before the emergency occurs.
Bismart has also applied artificial intelligence to health management with the Folksonomy tool, which allows improving clinical management through Natural Language Processing technologies, making medical diagnosis more efficient and optimizing processes such as drug treatment. In the company they point out that this technology is already helping to obtain much more precise processes, to make the best decisions that ensure patient safety.
