The event is organized by a group of academics, and aimed to show trends in Computational Intelligence, Industry 4.0, IoT & Big Data, Smart Cities & Appliances, Digital Transformation, Information Technology, Artificial intelligence, Computer Science, Intelligent systems, Software Engineering and between others..
Digital transformation is the cultural, organizational and operational change of an organization, industry or ecosystem through a smart integration of digital technologies, processes and competencies across all levels and functions in a staged and strategic way.
Digital transformation (also DX or DT) leverages technologies to create value and new services for various stakeholders (customers in the broadest possible sense), innovate and acquire the capabilities to rapidly adapt to changing circumstances
Industry 4.0 is a vision that evolved from an initiative to make the German manufacturing industry more competitive (‘Industrie 4.0’) to a globally adopted term.
Industry 4.0 is often used interchangeably with the notion of the fourth industrial revolution. It is characterized by, among others, even more automation than in the third industrial revolution, the bridging of the physical and digital world through cyber-physical systems, enabled by Industrial IoT, a shift from a central industrial control system to one where smart products define the production steps, closed-loop data models and control systems and personalization/customization of products.
Smart cities and smart city projects have been among the most actively discussed realizations, made possible by a purposeful and integrated IoT, data and connectivity approach, leveraging a mix of solutions and other technologies. Although there is an important technical aspect, smart cities are about far more. One can even debate the meaning of “smart,” certainly within the incredibly complex and holistic reality of smart cities, where it’s about meeting the needs of citizens and solving challenges of people, society, and urban communities.
The scientific objective of Computational Intelligence is to understand the principles that enable intelligent behavior (whether in natural or artificial systems) and, on the other, its technological objective is to specify the methods to design intelligent systems.
Incodtrin 2022 is the place where various professionals from the Information Technology sector, private companies, and publics and the Academy come together to contribute to the benefit of creating a space for analysis, exchange experiences and acquire knowledge from the world's innovation and technology leaders. They will show us the use of big data and the internet of things
Digital transformation is the change associated with the application of digital technologies in all aspects of human society.
It is an opportunity to optimize strategies, improve productivity, reduce costs and promote the digital conversion of all urban systems, transportation, environmental care, among others, to the benefit of establishing public policies that favor citizens, using big data. and internet of things
Big Data by providing us with a large, variety and quantity of data allows us to exploit business opportunities or improve the productivity of an organization, detect patterns, so finding spaces for discussion with the best experts globally is essential.
The Internet of Things (IoT) is changing how we live, work, travel, and do business. It is even the basis of a new industrial transformation, known as Industry 4.0, and key in the digital transformation of organizations, cities, and society overall. Reason enough to understand the essence of the Internet of Things.
Information technology (IT) is the use of any computers, storage, networking and other physical devices, infrastructure and processes to create, process, store, secure and exchange all forms of electronic data. Typically, IT is used in the context of business operations, as opposed to technology used for personal or entertainment purposes. The commercial use of IT encompasses both computer technology and telecommunications. We hope to have a very good discussion about IT.
Computer science draws some of its foundations from mathematics and engineering and therefore incorporates techniques from areas such as queueing theory, probability and statistics, and electronic circuit design. Computer science also makes heavy use of hypothesis testing and experimentation during the conceptualization, design, measurement, and refinement of new algorithms, information structures, and computer architectures.
Software engineering is a detailed study of engineering to the design, development and maintenance of software. Software engineering was introduced to address the issues of low-quality software projects. Problems arise when a software generally exceeds timelines, budgets, and reduced levels of quality. It ensures that the application is built consistently, correctly, on time and on budget and within requirements. The demand of software engineering also emerged to cater to the immense rate of change in user requirements and environment on which application is supposed to be working.