Using AI to Automatically Predict the Future

At Xyonix, we use state of the art artificial intelligence to automatically predict future values for time series data.

Time series data is data where a particular variable, like the number of new Covid cases or the closing value of the stock market, is sampled at some time interval like hourly, daily or weekly. Many high value problems are time series in nature, such as predicting the value of a stock tomorrow, or the number of new Covid cases next week. Using AI we train models on historic values so our model understands complex temporal patterns that are not easily observable by the human eye. We can then use our models to predict future values.

projects

Customer Behavior Analyzer

We worked very closely with executives of a major dental insurance company to help better understand their customers. We used historic data to predict future customer behavior and purchase selections. Our models predict which customers are likely to lapse, and which are likely to remain loyal. Our models are also explainable, so it is easier to understand which attributes of a customer are indicative of loyalty or lapse tendencies. In addition to understanding high level customer characterizations, our explainable models describe why a specific customer is predicted to be a lapser or loyalist.

Patient Census Forecaster

We helped a widely used patient population software management company predict the number of patients that will be arriving at a given unit of a hospital. Our deep learning based solution accurately forecasts the patient census at various hourly intervals up to 5 days into the future.

Interested in using AI to automatically predict the future from your time series data? Contact us and let’s dig in together.

Featured

Dominique Grinnell

“I don’t think a five out of five really encapsulates the work that they do. The work is top-notch. It’s what we ask for and more. They go the extra mile in terms of letting us know that whatever we need, they’re there for us to lend their expertise, to be in a meeting if they need to, to explain the project in more detail. So it’s really going above and beyond.”

Dominique Grinnell, Sr. Product Team Manager at Delta Dental of Washington [more]

want to dig in deeper? check out some of our articles below

Predicting Covid-19 like the Weather, Using AI to Harness a Network of Health Sensors

The national weather service operates a massive sensor array including sensors located on weather balloons, in airplanes, on land, in sea buoys, and from satellites. Just like a confluence of variables can indicate a hurricane is on the way, we believe an infectious disease forecasting service powered by AI can predict the likelihood of a new wave of C19 and other infectious diseases.

Using AI to Predict Influenza, C19 and Other Infectious Disease Rates

AI can be used to generate regional forecasts of infectious disease rates that, in turn, empower government and other leaders to make prudent social distancing and other preemptive modifications. As a case study, we will look at influenza data supplied by the Centers for Disease Control. Our goal is to use ILI data to train a model that will accurately predict future seasonal flu levels.