Artificial Intelligence and Predictive Modeling
AI and predictive models enable advanced automation and business automation strategies. Rather than handcraft complex rulesets to handle an increasingly volatile business environment, machine learning allows us to develop software and automation which is reactive to changing conditions and scalable.
All machine learning based algorithms assume that business rules and human behavior give rise to what we observe as “big data” through an underlying dynamic. These rules are extraordinarily complex and beyond simple elucidation. They are not representable in the human mind. But yet, with the aid of AI, we can represent these rules, these “relationships” in a predictive model. This model is totally data driven, meaning that it is not influenced by our preconceived ideas of what the rules should be, but what the data directly tells us.
AI is extremely adaptive and retraining allows the model to shift over time to evolving trends. Our consultants will work with you to provide a comprehensive model training, versioning and management system to ensure that your models are consistently kept up to date, delivering performance and accurate predictions.
All of our code bases for model development are hygienic. We adopt best practices in the industry like clean code, reproducible research and careful documentation of assumptions. This ensures that our models are not only accurate, but maintainable. We believe that good models are a product of free exchange of ideas between you, the client and our data scientists to ensure that business processes are captured clearly in code, data cleaning pipelines are explicit and reproducible. A good model depends on good data, and we work very hard to craft good datasets and pipelines to ensure this.