IBM has unveiled “Project DataWorks,” an initiative from Watson that is the industry’s first cloud-based data and analytics platform to integrate all types of data and enable AI-powered decision-making. Project DataWorks is designed to make it simple for business leaders and data professionals to collect, organize, govern and secure data, so they can gain the insights needed to become a cognitive business.
Businesses today understand the competitive advantage of gaining
insights from data. However, obtaining those insights can be increasingly complex, and most of this work is done by highly skilled data professionals who work in silos with disconnected tools and data services that may be difficult to manage, integrate, and govern. Also, because data is never static, businesses must continually iterate their data models and products—often manually—to benefit from the most relevant, up-to-date insights.
Project DataWorks can help businesses break down these barriers by connecting all data and insights for their users. All data-driven professionals can work together on an integrated, self-service platform, sharing common datasets and models in a trusted manner that helps ensure governance, while rapidly iterating data projects and products.
It is designed to help organizations:
- Automate the deployment of data assets and products using cognitive-assisted machine learning and Apache Spark;
- Ingest data faster than any other data platform, from 50 to hundreds of Gbps, and all endpoints: enterprise databases, Internet of Things, weather, and social media;
- Leverage an open ecosystem of more than 20 partners and technologies, such as Continuum Analytics, Galvanize, Alation, NumFOCUS, and RStudio.
“We are at an inflection point in the big data era,” said Bob Picciano, senior vice president,
IBM Analytics. “We know that users spend up to 80 percent 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.”