DataWorks, announced yesterday, combines Watson with a number of other offerings including Apache Spark and the IBM Data Science Experience. These tools help make the service geared more towards business users rather than IT professionals.
It is designed to help organizations automate the analyzing of data assets of any type. IBM claims that DataWorks can analyze data at speeds up to hundreds of gigabits per second from endpoints such as enterprise databases, Internet of Things (IoT) devices, weather sensors, and social media.
IBM notes that obtaining insights from data can be complex, and the process usually involves disconnected tools and services that can be difficult to manage, integrate, and govern. Businesses must often manually update their data to gain the most up-to-date insights.
Project DataWorks is meant to cut business’ time spent searching and preparing data for analysis, automating the process with cognitive capabilities and machine learning. This allows users to discover data that they would otherwise not be able to see themselves, IBM claims.
IBM’s Project DataWorks has a handful of companies tapping into its uses such as Dimagi, KollaCode LLC, nViso, Quetzal, RSG Media, Runkeeper, SeniorAdvisor.com, and Tabtor Math.
RSG Media, for one, delivers software and services to media and entertainment companies. It’s using Project DataWorks to perform analytics across first- and third-party data sets. This includes monitoring cross-platform content-viewing behaviors of different demographics, lifestyles, and social views.