VIDEO: What Are the Biggest Data Science Challenges for Businesses?

Video produced by Steve Nathans-Kelly

When looking to a data-driven future, businesses should consider modern analytical techniques to guide strategies when planning for the future.

Multiparadigm Data Science is a new approach of using modern analytical techniques, automation, and human-data interfaces to arrive at better answers with flexibility and scale. Erez Kaminski, Wolfram Technology Specialist, Global Technical Services, Wolfram Research, Inc., discussed data science challenges businesses are facing at Data Summit 2018.

"Everybody wants answers, they want them now and they don't know what's taking so long," Kaminski said. 

To access more Data Summit 2018 videos, go to

Many PowerPoint presentations from Data Summit 2018 have been made available for review at

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.