With Watson-Based Platform, IBM Integrates ‘All Data Types’ for AI-Powered Decisions

IBM has unveiled a cloud-based data and analytics platform to integrate all types of data and enable AI-powered decision-making, built on its Watson artificial intelligence engine. Called Project DataWorks, the initiative is intended to help businesses connect data and insights for their users. Professionals can work together on an integrated, self-service platform, sharing common datasets and models.

Available on Bluemix, IBM’s Cloud platform, Project DataWorks can help 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. The platform is designed to help organizations automate the deployment of data assets and products using cognitive-assisted machine learning and Apache Spark, as well as ingest data ranging in capacity from 50 to hundreds of Gbps.

Project DataWorks is also underpinned by core cognitive capabilities, such as cognitive-assisted 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 in the big data era,” said Bob Picciano, senior vice president for IBM Analytics. “We know that users spend up to 80% of their time on data preparation, no matter the task, even when they are applying the most sophisticated AI. Project DataWorks helps transform this challenge by bringing together all data sources on one common platform, enabling users to get the data ready for insight and action, faster than ever before.”

IBM will also enable business partners to certify their offerings within Project DataWorks, providing customers with greater choice to use the latest open source technologies and third-party offerings.

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