On 28 June, Bismart and Microsoft organised a conference called "Artificial intelligence helps us save the world". During the event, several speakers talked about the various problems that our society is facing, such as ageing population and the lack of trust in artificial intelligence in the medical field.
During the day, there was a debate around several sociodemographic problems in today's society and how they are expected to develop in the future. Pilar Rodríguez, from the NGO ABD, explained some of these problems and stressed that the most important thing to find a solution is to define these problems correctly.
Aser Murias, CTO of Bismart, presented the Enterprise Information Integration / Master Data Management solution, a data integration platform that facilitates interoperability between systems through the exchange of information. This integration is information-oriented and facilitates the transfer of information from one system to another. Such a system could solve the major integration problem faced by the administration.
Then, Ismael Vallvé, Director of Innovation at Bismart, presented Folksonomy Text Analytics, a solution that allows you to quickly find information within large numbers of unstructured documents.
Daniel Marco, Director of Smart Catalonia at Generalitat de Catalunya, offered data that shows that Barcelona is a very important technological capital that has increased its turnover in Big Data by 30% in three years. He stressed that technology is one of the most dynamic sectors of the Catalan economy and that the city is the fifth European hub in number of start-ups.
Finally, Dr. Josep M. Picas' presentation concluded by saying that 40% of clinical practice and 15% of diagnoses are wrong. If the same doctors who are wrong 15% of the time are teaching in universities and are responsible for passing on knowledge, it is highly likely that new generations will make the same mistakes. Now, several doctors can have different visions about the same case; with artificial intelligence, the machine will always provide a 100% objectively correct diagnosis. The artificial intelligence in this field becomes a support tool that can improve diagnosis.
So artificial intelligence is here to stay, but not so much as a tool to replace what we have, but to improve it and ensure its efficiency.