Data Science
We are the bridge between AI integration and value-added decision making
ATS has deep expertise in data science, machine learning, large language models, and AI allowing our clients to extract the most value out of their structured and unstructured data.
How Our ATS Team Works
At ATS, we help our customers extract information from data. These insights enable our customers to understand their systems and businesses better, so that better management decisions can be made.
Our data science capabilities have saved our customers tens of millions of dollars in OpEx and CapEx dollars, while reducing risk costs from operations.
Complete AI Driven Approach
We ensure our customers are equipped to navigate the age of AI with best-in-class data science, machine learning, and large language model capabilities.
Our data science engine utilizes the state-of-the-art in data science methods, and we keep our pulse on the latest academic research to ensure that the best techniques are applied.
Our data science capabilities have saved our customers tens of millions of dollars in OpEx and CapEx dollars, while reducing risk costs from operations.
Complete AI Driven Approach
We ensure our customers are equipped to navigate the age of AI with best-in-class data science, machine learning, and large language model capabilities.
Our data science engine utilizes the state-of-the-art in data science methods, and we keep our pulse on the latest academic research to ensure that the best techniques are applied.
Our data science capabilities have saved our customers tens of millions of dollars in OpEx and CapEx dollars, while reducing risk costs from operations.
Questions
Our Data Science Capabilities Enable Our Customers To Answer Tough Questions
What is the optimal resource spread policy for replacing circuit breakers in the entire electrical grid?
What is the optimal spares and replacement strategy to minimize CapEx costs while maintaining large satellite systems like Starlink?
What transmission or distribution assets are most likely to cause an outage or ignition?
ATS trained advanced AI models to predict future outages and ignitions based on assessed probabilities of failure, asset characteristics, and climate. These models accurately identified high-failure circuits and were nearly ten times more accurate in predicting ignitions compared to random sampling.
Which public health interventions are most likely to be cost-effective given an outbreak of unknown transmissibility and lethality?
ATS developed a well-calibrated stochastic model to represent a disease outbreak and subsequent response in an urban area. By training machine learning models on the results of the stochastic model, we could evaluate thousands of possible outbreak and economic scenarios in seconds. This enabled agile epidemic response and provided cost-effectiveness information for public health decision makers.
