The growing practice of data science has made prediction and forecasting more common within enterprises, allowing businesses to leverage large-scale historical datasets to generate insights about the future.
While predictive analytics is highly valuable, building effective, accurate models is an arduous process. Due to the data-intensive nature of prediction, data science teams often face computational bottlenecks and significant cycle time on CPU-based implementations. Through full-stack development, from software to hardware, NVIDIA provides accelerated solutions built upon popular data science solutions to solve common pain points and help businesses get the most out of their data.