A new approach to successfully building and deploying predictive analytics at scale
By moving models to score in database, rather than moving databases to be scored in the modelling environment, BYOM makes deployment easier, faster and more cost effective.
This is the ultimate value of the BYOM approach. It dissolves the barriers between data science teams and the business consumers of their work. It simultaneously allows data scientists to concentrate on what they do best – building performant and proven models that use data analytics to predict outcomes – and gives them a simple way to prepare for effective deployment of those models into the business.