Big Data & Data Visualization

Visualizing Sensor Big Data

"Big Data Sensor Visualization"

The Artificial Intelligence and Big Data is mainly devoted to the design, analysis and experimentation of algorithms and systems involving Big structured and unstructured Data for the Web and for IoT, Mobile and Pervasive High Performance Computing.

In the last decade, technological improvement on sensors increasingly motivates the use of sensor data in numerous application domains such as environmental, health, transportation, etc. Progressively, with the advances on user terminals, there is a strong trend towards interactive sensor data visualization. As viewing raw sensor data stored in multiple databases does not specially fulfill user requirements, data visualization raises challenges about supporting users to easily use and handle sensor data.

Robots already have applications in such a wide range of fields in many different industries.

They have changed and will change the way that we live our lives, and ultimately, they have the capacity to make a structured  world of information ready to become useful knowledge.

One of the main uses of robots is gathering data.

Take the Mars Rover for example.

It is equipped with countless instruments all used to take in data about its surroundings and send it back to NASA, using an ultra-high frequency antenna built onto the robot (the Curiosity rover has 17 cameras alone, not to mention all the other sensors).

Now obviously, a lot of the instruments used by robots on Earth will be different than those used to the Mars Rover, but many robots on Earth also need a way to send data back to a main computer system.

The problem with big data is that there is too much of it.

In the past, people tried to avoid formats like pictures, video, or voice because they couldn't do too much with it.

There was only an additional cost of storing it.Just think about the video surveillance in your local community. About 100 cameras operate 24/7, 365 days a year. That’s a total of 2400 hours of video footage every day. If a human was supposed to review this data for suspicious activity, it would take a team of 60 people. That’s simply not worth it economically.

This is where artificial intelligence and big data work together.

The only way to efficiently deal with this amount of data is to manage it with data-scanning and to use AI software algorithms.

The ability to empower anyone to quickly and easily build AI applications and maintain them over time is perhaps the most important element of any successful enterprise AI Robotics Platform.

Data scientists are often tasked with working through massive data stores to provide workable insights. These insights are then analyzed in order to identify patterns related to business intelligence or even human behavior. However, it may be one thing to construct data queries and machine learning pipelines, employing all types of optimizations and clever algorithms. It is entirely another thing to be able to communicate the results of arduous data collection and modeling to colleagues that do not share an intimate knowledge of data processing. This is where data visualization arrives to save the day.