A New, Faster Approach To Data Science And Machine Learning

For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise. Streamlining the data science workflow is essential to ensuring that organizations can mine oceans of data for valuable insights and predictions that can power business. Unfortunately, today's enterprise machine learning is built on a legacy architecture that was never designed for the unique demands of ingesting, preparing and ultimately training ML algorithms with speed and efficiency - attributes which are native to the world of GPUs. Data science talent is hard to find, and maybe harder to retain if they're not adequately equipped to do their best work, with the best tools available. If your valued innovators are spending an appreciable amount of their day waiting on ingesting a CSV file, data analysis, data preparation or training a model, they're likely bored or taking too many coffee breaks while they wait.