Last week the IEEE Internet of Things: Systems, Management and Security (IoTSMS 2020) conference took place virtually, an event that seeks original ideas in the field of IoT, including challenges and opportunities, concepts and applications, and future trends. I had the opportunity to present a paper on Artificial Intelligence applied to IoT and how it influences different areas.
The need for progress, the increasing processing power and the low cost of the cloud have facilitated the development of new and powerful algorithms. The efficiency of these algorithms in the processing of Big Data, Deep Learning and Convolutional Networks is transforming the way we work and it is opening up new horizons. Thanks to them, we can now analyze data and obtain incredible solutions to today’s problems.
To address today’s problems, we must work with historical and real-time data. We must fully understand the problem, its temporal evolution, as well as the relevance and implications of each piece of data. It is also important to consider the development time, costs and the ability to create systems that interact with their environment, connect with the objects around them and reliably manage the data they obtain.
Also, complementary technologies such as IoT and Blockchain are important in the development of intelligent systems. During the lecture I explained how tools such as Deep Intelligence-Deepint.net, a solution developed by DCSc and BISITE, allows to create computer systems efficiently and effectively.