Organizations in the petroleum industry are no strangers to large volumes of data. With the right technology solutions, these companies can move beyond traditional real-time monitoring to more agile real-time prediction. By rapidly analyzing incoming technical and business data—and applying that
Using IBM Security Intelligence with Big Data, security organizations can analyze more data more flexibly, and gain more accurate results. By analyzing structured, enriched security data alongside unstructured data from across the enterprise, the IBM solution helps find malicious activity hidden
Technology in the energy and utilities industry is becoming increasingly advanced, including that of smart meters and smart grids. Although the evolution of these technologies provides companies with tremendous business insight, they also generate unprecedented data volume, speed and complexity.
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. If retailers succeed in addressing the challenges of “big data,” they can use this data to generate valuable insights for personalizing
IBM InfoSphere Optim is a leader in Gartner Inc's Magic Quadrant for Data Masking Technology. InfoSphere Optim received the best ranking in the ability to execute and completeness of vision categories compared to competitors. Gartner reports that data masking should be mandatory for enterprises
How do businesses address the challenges of growing volume and variety of data? How can I introduce new data sources and workloads into my architecture? How do I achieve better time to value and agility in my infrastructure?
If you're wrestling with these and other related questions, I recommend