Data science teams do great work, but it is all for naught if the models they create cannot be operationalized in a quick and friction-free manner. Models are often built using one technology, but must be translated to another technology to embed in applications and business intelligence platforms. It not only takes too long, but accuracy is often lost in translation. Enterprises have an insatiable appetite for predictive analytics; data science teams need to deliver faster results.
Watch RapidMiner and Forrester Research discuss how organizations can operationalize predictive analytics.