- IBM DataWorks – a set of cloud-based data refinery services that shape, cleanse, match and secure data. The new services enable business users to find, use and contribute data for analysis; application developers to embed data services into new applications; and IT and data professionals to enable self-service data access and instill confidence to act on the data.
- IBM dashDB – a cloud-based data warehousing and analytics service with in-memory technology built-in to deliver answers faster. A new integration of dashDB with Cloudant, IBM’s NoSQL database as a service (DBaaS), allows Cloudant clients to embed analytics in their applications with a few clicks.
- IBM Cloudant local – an on-premise edition of the fully managed cloud database-as-a-service that enables a fluid hybrid cloud data layer that spans private data centers, mobile devices and third-party cloud providers. This ensures customers can easily reconfigure their cloud data platforms over time to optimize the cost, security, reach and performance.
- Watson Curator, a software-as-a-service (SaaS) offering that increases confidence in the delivery of quality content collections and governance for IBM Watson Solutions. For example, an individual insurance risk analyst can quickly review and add context to documents so that many underwriters across the enterprise can get higher quality responses on risk assessments from Watson Engagement Advisor. IBM Watson Curator actively guides subject matter experts — in this case the risk expert — through the entire curation process in order to minimize the time and effort required. This capability improves the relevance and quality of the information used for analytics.
IBM also announced that its broad portfolio of analytics capabilities — including Cognos business intelligence and SPSS predictive analytics platforms – is planned to be available via the IBM Cloud marketplace.
“All the data in the world is useless if you can’t put it to work. The new cloud-born services from IBM provide data professionals the ability to deliver data with speed and confidence as the fuel for applications and analytics,” said Beth Smith, general manager, Big Data, IBM. “The ability to source and manage the right data will help organizations keep data management streamlined, while adhering to increasingly stringent regulatory demands, and produce results and analysis of real value to the business.”