Multiparadigm Data Science

Multiparadigm Data Science is a new approach of using AI and modern analytical techniques, automation and human-data interfaces to arrive at better answers with flexibility and scale.

Many organizations are still doing traditional data science—confining themselves to problems that are answerable with traditional statistical methods—rather than utilizing the broad range of interfaces and techniques available today. Whether it's automated machine learning, interactive notebooks and report generation, natural language queries of data for instant visualizations or implementing neural networks with ease and efficiency, modern problem solving requires access to the right technology at every stage.

With a flexible, integrated multiparadigm workflow, problems too complex for traditional methods can get real, quantifiable answers.