Time Series Analysis

Every business reckons expansion through a promising customer base and by inculcating distinct services. Prognosticating trends could prove to be favorable for a business. One of the crucial elements in inferring such predictions is Time Series Analysis.

Time Series Analysis is a standard data type in day-to-day life. Significant in contemplating the history that influences the expectation.   Our Time Series Analysis, allows the customer to acquire a model that accommodates a meticulous forecast of business metrics including stock market price, sales, turnover, and more. By apt understanding patterns in data and analyzing trends, a greater view of the future provides optimal business growth. Autocorrelation - Data observations and patterns tend to repeat them over some time. 

Seasonality- When data observations and patterns repeat periodically it is known as seasonality.

Stationarity-It is the measure of time series mean and variance changes over time.

Trajectory Prediction

The invention of airplanes made it possible to fly across miles before the sunsets. One of the most crucial elements in reaping safe and sound transportation in air traffic is trajectory prediction. This facilitates Air traffic management to examine trajectories against one another to evade disputes among the both. The exactitude of the trajectory prediction assures smooth and unperturbed flight.

With 4.9 billion air travelers in 2019, while the figures keep adding, AIVl is at the vanguard of innovation. Incorporating and scrutinizing minor details every ticking minute among our elaborate AI and ML systems provide precise trajectory predictions. Leaping further, AIVL is amplifying Artificial Intelligence to maintain the increasing air traffic efficiently with careful precision without human intrusion.