Although predictions can be life-or-death propositions for businesses, inspiring confidence in business plans can be highly challenging if they can’t be justified with high-quality predictive models. Discover why tools, platforms and best practices for building, refining and putting predictive
IBM InfoSphere BigInsights is our Hadoop-based big data platform. Join Nicolas Morales of IBM's Big Data Enablement Team as he walks you through a big data solution using BigInsights to capture, store, transform and analyze social media data. For more information, visit IBM BigInsights.
I recently participated in a Twitter chat on big data strategy hosted by @IBMbigdata. In all, seven questions were asked (including inquiry around the hot new role of chief data officer), and the conversation certainly demonstrated that each are well worth discussing again, in a little more than
Beth Smith is General Manager of IBM’s Information Management Division, which includes database, data warehouse, information integration, master data management, integrated data management & governance and Big Data offerings. In this podcast, she explained Watson Foundations - IBM's big data
When it comes to talking about big data technology, there's a big bowl of alphabet soup to digest: noSQL, EDW, HBASE, ETL, BI, ERP, JAQL and many others. Don't "Pig" out on the soup to the point where you break out in "Hives"—join us as we discuss the technology issues and help you understand what'
The future of big data?
Hybrid data architectures have been hailed as “the future of big data.” But what exactly is a hybrid data architecture and how would your organization best make use of one? What makes it better than current systems? What are some of the challenges involved in deploying a
Through talking with some 3000 clients, prospects and industry leaders, Inhi Cho, the vice president and general manager of Big Data, Integration, & Governance at IBM, and her team have identified 6 important trends that are driving big data forward.