Artificial intelligence isn't a project to be left wholesale to data scientists and IT. It's a strategic business opportunity that requires technical know-how and organizational coordination. Companies making the transition to AI must build data and analytics into their core functions, an enterprise that requires careful change management and cross-cutting transparency.
Companies exploring big data and AI technologies often seek to use new external datasets or off-the-shelf libraries. While new data and outside libraries can be useful, companies usually overlook the incredible store of untapped proprietary information they already possess, in the form of datasets and established processes:
- We first scope the strategic objectives a company wishes to serve with artificial intelligence or advanced analytics.
- Next, we identify processes that present opportunities of the greatest value.
- After communicating the strategy, we provide the engineering and analytical rigor necessary to implement it.
Our experienced team is prepared to support initiatives involving any number of artificial intelligence methods, including supervised, semi-supervised, and fully unsupervised machine learning, machine classification, human--machine interaction, and dynamic optimization. Our development team is fluent in a multitude of industrial front-end and back-end languages, making integration and continued support seamless.