Thursday, IBM introduced Project DataWorks, a cloud-based data and analytics platform.
The platform taps Watson cognitive capabilities to integrate all types of data and enables Artificial Intelligence-powered decision-making.
Available on Bluemix, IBM’s Cloud platform, Project DataWorks is designed to make it simple for business leaders and data professionals to collect, organize, govern and secure data.
A NYC-based startup that develops clean energy projects in American inner cities used Project DataWorks to build a cognitive application that performs energy audit of individual properties.
The IT major claims that Project DataWorks will help users access and gain insights from the 90 percent of unstructured data that goes untapped by organizations.
This offering is also said to redefine how data professionals collaborate by tapping into a number of key innovations, such as Apache Spark, IBM Watson Analytics, and the IBM Data Science Experience.
Project DataWorks leverage an open ecosystem of more than 20 partners and technologies, such as Confluent, Continuum Analytics, Galvanize, Alation, NumFOCUS, RStudio, Skymind, and more.
Additionally, it is underpinned by core cognitive capabilities, such as cognitive-based machine learning. This helps speed up the process from data discovery to model deployment, and helps users uncover new insights that were previously hidden to them.
“We are at an inflection point with data and analytics,” said Bob Picciano, senior vice president, IBM Analytics.
“We know that clients spend up to 80 percent of their time on data preparation, no matter the task, even when they are preparing to take advantage of today’s advanced AI and machine learning approaches.”
“Project DataWorks helps transform this challenge by tapping into cognitive capabilities to integrate all data sources on one common platform, enabling individuals to get the data ready for insight and action, faster than ever before,” Picciano said.
