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Solutions to challenges of the future

The Aerospace industry covers the design, manufacturing, commercialization, and maintenance of aircraft, spacecraft, and rockets, as well as specific equipment for propulsion and navigation. Aerospace activities are diverse and with multiple industrial, military, and business applications.

One of the most far-reaching activities are Deep Space missions, which are engaging new players in exploring the Universe. Manned spacecraft missions beyond Mars demand algorithms and artificial intelligence to enable autonomous spacecraft that do not need constant supervision from terrestrial Command & Control Centers.

Aerospace technological challenges

The aerospace sector is facing a great technological challenge in its goal to have  manned Deep Space missions to explore Mars and beyond.

Achieving such ambitious objectives requires new technologies to enable generating, storing, and managing electric power autonomously. A key target is developing multi-purpose and transversal technologies for a wide range of space mission applications.

Keep in mind that communication between Mars and Earth experiences 3 to 24 minute delays (depending on their position along their respective orbits). Therefore it is impossible to rely on remote monitoring and control from the Earth, particularly when dealing with time-pressing problems. Here is where intelligent and autonomous systems are necessary, to–among other things–manage power systems and take autonomous decisions under both normal and critical situations.

Artificial Intelligence Contribution

Grupo AIA´s long experience in developing innovative grid management systems enables us to successfully combine artificial intelligence with physical model-based control. This capability is being developed in NASA projects that focus on algorithms for autonomous grid management. The results have applications not only in spacecraft power management, but also for autonomous micro-grids down here on Earth.

This means Grupo AIA is developing smart grid technology for manned or unmanned spacecraft in Deep Space missions to Mars and beyond. The objective is to make these power systems autonomous, self-sufficient, and capable of solving possible power failures without human intervention.

AIA´s contribution focuses on the appropriate combination of two completely different paradigms: on one hand a physical-engineering approach, based on the electric model of the system and Grupo AIA´s reliable calculation method (HELM); and on the other hand, a data-based modeling approach, which is growing increasingly powerful thanks to Machine Learning and rich sensoring, and is essential for achieving “self-awareness” in autonomous systems.

Innovation in the Telecommunication sector

Telecom companies need to understand customers´ behavior to be able to offer them multiservice solutions to meet their needs. On the other hand, mobile connectivity for millions of people and easy access to information has favored storing and data processing increasing capacity.

Telecom industry facilitates connectivity in the whole ecosystem at the speed and quality required by customers.

The technological challenges in telecommunications sector

Strategic priorities that will lead guide the sector´s way to the future in the next three years are: the digital business and services development, customer service  improvement and costs and efficiency management improvement.

Instant messaging and social networks have pushed Telecom companies to adapt to customers demands. They have been the first to identifying customers new demands and have been able to transform it into successful business models.

Thus, quality and updated information is a key to decision-making.

Contribution to Artificial Intelligence

Artificial Intelligence-based systems combined with business knowledge capacity, allow to model automated decision-making support systems for different business areas. Only involving experts in artificial intelligent systems, success can be achieved.

Grupo AIA´s systems enable decision-making in a automated and individualized way over the consumers base, as a business expert would do, with the following advantages.

Computer not limited to human´s processing speed

Experts´ check out and approval on decision-making

Decision-making speed

Explanatory component of the recommended decision

The introduction of Big Data analytics in this sector involves dealing with companies´ large volume of information. Extracting customers´ behavior patterns and forecasting their future needs, it is possible to optimize the customer experience and even define new business models.

Grupo AIA innovates in the sector creating solutions based on advanced mathematics in areas such as: