With big data set to grow exponentially in the next decade, telecommunications service providers face several challenges. Here are the top five ways service providers can store, access and analyze their big data for the next 10 years and beyond.
Attend the IBM Smarter Risk Summit NYC at the New York Stock Exchange on February 9, 2016. Risk management experts, bankers and senior executives in financial markets will have the opportunity to hear directly from, and network with, industry leaders. The agenda includes hot and emerging topics in
Understanding your data’s life cycle can help you lay a solid foundation for your business analytics, preserving the integrity of your data even as you define that data, track it and use it to drive your business decisions. Find out how keeping tabs on your data lineage can empower your information
With the proliferation of digital data, how can healthcare providers manage all this information while complying with mandated requirements? Cognitive computing can help providers understand the importance of this data and leverage it to become a key asset.
Adopting a data integration strategy is the first step toward achieving success with data. Using such a strategy can instill confidence in customers and allow company leaders to react quickly and appropriately, all while reducing risk and costs.
When organizations adopt a hybrid cloud environment, they add another layer of complexity to their information supply chains. Despite the added complexity, organizations still need to ensure completeness, accuracy and availability of information for high-quality insights. To achieve these data
Without doubt, cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. To fully realize the benefits of the cloud, organizations need to have a good hybrid information governance model in place. A key
Last month at Insight 2014, IBM made an exciting announcement: IBM DataWorks is available now. The reaction was overwhelmingly positive; clients who have or will soon have a data lake were very keen on the notion of data refinement. In fact, a data refinery is a natural fit with a data lake.