IBM (NYSE: IBM) today announced that Stuttgarter Straßenbahnen AG (SSB), a leading German public transportation company, has turned to IBM Cloud, Software Defined Storage and Flash to improve business application performance and customer response times.
In a keynote speech at the recent IBM Enterprise, Jamie Thomas, General Manager, Storage and Software Defined Systems at IBM, unveiled a bold strategy for the company’s storage business. Building upon the Software Defined Storage portfolio announced last May, IBM is focusing its storage business on a new model for enterprise data storage that is optimized for interoperability across hardware and software solutions.
In your world – numbers and data can save lives. Minutes and seconds absolutely matter. Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research teams need high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses.
IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.
The rapid, accelerating growth of data, transactions, and digitally aware devices is straining today’s IT infrastructure. At the same time, storage costs are increasing and user expectations and cost pressures are rising. This staggering growth of data has led to the need for high-performance streaming, data access, and collaborative data sharing. So – how can elastic storage help?
This webinar is focus on understanding active risk management with high performance data and grid management.
IBM (NYSE: IBM) announced today that Ping An Insurance (Group) Company of China, Ltd. (Ping An), the largest private insurer in the country, has implemented an IBM Software Defined Storage solution to help it speed data collection from one month to one hour, dramatically improving its ability to meet new regulatory requirements such as the annual audit and industrial data analysis.