In May 2010, the baby Laura was born prematurely in a hospital in Curitiba / PR. She survived for 18 days in the neonatal ICU and did not resist sepsis, a disease that kills more than 100,000 Brazilians each year. Driven by the pain of the loss of the daughter and also by the promise of helping to reduce these numbers, the systems architect Jacson Fressato created the first cognitive robot risk manager in the world. Promise fulfilled: Robot Laura already saves one life a day and currently operates in five hospitals. The software reads patients' information and issues alerts that are sent every 3.8 seconds to the medical staff in order to signal patients with risks of generalized infection and to warn in advance other cases of deterioration.
Founder and CEO of LAURA, Artificial Intelligence platform, is a systems architect, focused on the development of data analitycs, Machine Learning, micro-services and autonomous technologies using agile management methodologies and organizations exponents (ExpO). He became a specialist in corporate security working in large companies such as IBM and Volvo where he was responsible for more than USD 18 million of savings in systemic fraud. He founded two technology companies and one for corporate research consulting. A father with a daring goal: to positively impact 1 billion lives.
Co-founder and CTO (Chief Technology Officer) of LAURA, expert in Artificial Intelligence for high-impact projects. Computer Scientist at UFPR and Monash University (Australia). Master in Artificial Intelligence and Computational Vision by the Norwegian University of Science and Technology. Social activist; created and participated in actions that impacted thousands of people, from food collection to the promotion of entrepreneurship in needy areas. His main motivation is to develop technologies to empower people and save lives.
which acts integrated into data environments in order to collect them, organize them and perform complex calculations, compare results with probabilistic ranges, and accurately conclude on the favorable conditions or not for a risk event to occur.
or monolithic system, which receives input and action from users for data processing, LAURA has micro-services, which are small softwares or motors, agnostics in permanent execution, autonomous with each other. Laura's 263 engines or micro-services are analogous to the organs and systems of the human body.
because it is a robot that learns. Based on Artificial Intelligence, Laura uses several technologies and two of them are worth mentioning: Cognitive Computing and Machine Learning.
the ability to make cognitive connections, much like the human being. When a human being sees for the first time the image of an object that he does not know, he knows that he is unaware because there is no record of that image in the person's brain, and in that case the person will try to find out what it is, when he identifies, your brain a category to insert that image or information, what is stored in the brain is a cognitive artifact, used to identify any other similar object. Similarly, cognitive computing gives the computer the ability to identify the data and categorize them, storing them as cognitive artifacts.
of a large number of occurrences, in a matter of microseconds, the machine learning algorithm detects patterns and determines with a high degree of reliability the chances of a favorable or unfavorable result to the analyzed event, very similar to the human deduction process.Get in Touch