Machine learning is the pinnacle of business intelligence and AI. Machine learning focuses on the development of algorithms and models that enable systems to learn from and make predictions based on data without explicitly being programmed to do so. Assurety develops robust machine learning algorithms that allow machines to constantly improve their performance to yield the best outcomes.

Not all organizations or data sets can benefit from machine learning, which is best suited for complicated business problems that are associated with enormous amounts of data. We take the time to fully understand each organization’s challenges and identify risks as we develop a comprehensive plan to exceed your expectations.

More than 70 percent of the work in a machine learning or advanced AI project takes place early in the process with our expert data scientists cleansing the data with statistical regression, variance, covariance and logit analysis.

Assurety’s experts select algorithms to fit your needs or develop custom algorithms depending on the project’s needs. Once the data is prepared and algorithms are implemented, we train the model with large volumes of data so it can begin to understand the rules, recognize patterns, and identify anomalies in the patterns.

The models can then be refined to update as anomalies are identified and trigger actions and prescriptions as necessary. Such solutions provide Assurety an extensive competitive advantage over other analytics companies and keeps the new threats of entry low.

We often employ Explainable Artificial Intelligence (XAI) during machine learning projects, which helps to counteract biases coded by software developers and data scientists. With XAI, the machine learning system can provide justifications for its decisions, predictions or actions in a way humans can understand and interpret. This brings transparency and trust to a complex and highly technical process.