Video produced by Steve Nathans-Kelly
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.
Multiparadigm Data Science includes automated machine learning, interactive notebooks and report generation, natural language queries of data for instant visualizations, and implementing neural networks with ease and efficiency.
“It’s data science that falls into data science that: uses flexible pipelines built on arbitrary input, delivers better and faster insight, is scalable, fused with real-world data, and delivers the right output,” said Erez Kaminski, Wolfram Technology Specialist, Global Technical Services, Wolfram Research, Inc., at Data Summit 2018.
To access more Data Summit 2018 videos, go to www.dbta.com/DataSummit/2018/videos.aspx.
Many PowerPoint presentations from Data Summit 2018 have been made available for review at www.dbta.com/DataSummit/2018/Presentations.aspx.
Data Summit 2019, presented by DBTA and Big Data Quarterly, is scheduled for May 21-22, 2019, at the Hyatt Regency Boston, with pre-conference workshops on May 20.